Explore 4 python data engineer jobs from 3 hiring companies in Mountain Top, PA, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Data Engineer

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Python Data Engineer Jobs

Paychex

Berkshire Hathaway GUARD Insurance Companies

Mid Penn Bank

Hybrid

Onsite

Imagine Your Future with Us! Since 1971, Paychex has been at the forefront of simplifying HR, payroll, and benefits for American businesses. Our digital HR technology and advisory solutions cater to the changing needs of employers and their employees. With our award-winning training and endless opportunities for growth and development, you can build a lifelong career with us. We pride ourselves on fostering an inclusive and innovative culture. Our leaders are here to support your career journey; they and our dedicated employees embody the values that drive us to support each other, our clients, and our communities. Join us to pursue your passion and unleash your potential. Overview Source, extract, and manipulate large data sets to serve Business Analytics, Machine Learning and Artificial Intelligence needs of Paychex. Responsibilities <ul><li>Utilize existing infrastructure to assemble large, complex data sets that meet business requirements through extraction, transformation, and loading of data from a wide variety of data sources</li><li>Provide operational support and troubleshooting for existing processes and systems</li><li>Work closely with architects, solution leads, data owners, Data Scientists and key stakeholders to facilitate and coordinate the data platform backlog grooming process, triaging new feature requests in preparation for future project activities</li><li>Deliver automation & efficient processes to ensure high quality throughput & performance of the entire data & analytics platform</li><li>Ensure data extraction, transformation and loading data meet data security & compliance requirements</li><li>Engage with data source platform leads to gain tactical and strategic understanding of data sources required by Agency Data Services AI/ML as well as Data Office standards.</li><li>Create data tools for data scientist team members that assist them in building and optimizing models for use in Paychex products</li></ul> Qualifications <ul><li>Bachelor's Degree in Computer Science, Data Science, Engineering or equivalent software/services experience - Required</li><li>4 years of experience in Working with SQL, Snowflake, Databricks, Spark and/or other Big Data technologies.</li><li>4 years of experience in Experience building and optimizing data pipelines, architectures and data sets to answer specific business questions and identify opportunities for improvement.</li><li>2 years of experience in Experience working with large-scale data processing and storage using Azure Data Factory, Integration Runtime, Data Lake, Databricks, Spark, Azure ML, and Cosmos DB.</li><li>4 years of experience in Proficiency with languages such as Python, SQL, PySpark, R.</li><li>2 years of experience in Understanding of Privacy, Compliance and security aspects of data storage & processing.</li><li>2 years of experience in Experience delivering data solutions via Agile methodologies.</li><li>4 years of experience in A successful history of manipulating, processing and extracting value from large disconnected datasets.</li><li>2 years of experience in Proficiency for Software Development & CI/CD methodologies and tools for automated infrastructure code; ML Ops.</li><li>2 years of experience in Design, implement, and maintain automation platform and tools, including Ansible Tower, Azure, ARM, Terraform Enterprise, Azure DevOps and GitHub Actions.</li><li>2 years of experience in Salesforce FSC, Salesforce Data Cloud.</li><li>Communication - Preferred</li><li>Problem Solving - Preferred</li><li>Troubleshooting (Problem Solving) - Preferred</li><li>Management - Preferred</li><li>Operations - Preferred</li><li>Data Engineering - Preferred</li><li>Python (Programming Language) - Preferred</li><li>SQL (Programming Language) - Preferred</li><li>Extract Transform Load (ETL) - Preferred</li><li>Data Pipelines - Preferred</li><li>Computer Science - Preferred</li><li>Apache Spark - Preferred</li><li>Data Warehousing - Preferred</li><li>Amazon Web Services - Preferred</li><li>Apache Hadoop - Preferred</li></ul>  Candidates must be legally authorized to work in the United States on a permanent basis. We do not offer visa sponsorship now or in the future.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        Compensation In the spirit of pay transparency, we are excited to share that the base pay range for this position is $99,600 - 156,500 per year . Please keep in mind that this range is the base pay only and does not consider other components that make up the total rewards package for the position. If you are hired at Paychex, your overall compensation will be determined based on factors such as geographic location, skills, education, and/or experience which may result in total compensation outside of this range. Live the Paychex Values <li>Act with uncompromising integrity.</li>
<li>Provide outstanding service and build trusted relationships.</li>
<li>Drive innovation in our products and services and continually improve our processes.</li>
<li>Work in partnership and support each other.</li>
<li>Be personally accountable and deliver on commitments.</li>
<li>Treat each other with respect and dignity.</li> What's in it for you? <ul><li>We value your well-being: We provide over 21 comprehensive rewards, including medical coverage, virtual wellness classes, tuition reimbursement, 401(k) + employer match, adoption assistance, financial assistance, and much more.</li>
<li>We value your time: From paid time off to company holidays, culture days, and comprehensive work-life balance programs, we will ensure you have the flexibility you need to be your best.</li>
<li>We value your development: Our award-winning training and development programs empower our employees with ongoing learning opportunities to give you the building blocks to grow your career.</li>
<li>We value your perspective: Our company culture reflects the diversity of our employees. We want you to be you and your voice to be heard.</li>
<li>We value our communities: We offer paid time off for volunteerism and promote many company-wide and local initiatives that benefit organizations you care about.</li>
 Note: The benefits described apply to full-time employees. Benefits for part-time, contract, and intern roles may vary. Not sure if you meet every requirement? At Paychex, we know that great talent comes in many forms. If you're passionate about the role but don't check every box, we still encourage you to apply. You might be the right fit - either for this position or another opportunity with us. 
Paychex is an equal opportunity employer. We are committed to fostering a respectful and inclusive workplace where all individuals are treated fairly and evaluated based on their qualifications, experience, and merit. We comply with all applicable federal, state, and local laws prohibiting discrimination in employment.

Data Engineer

Bachelor's degree in CS/Data Science/Engineering or equivalent; 4 years in SQL, Snowflake, Databricks, Spark; 2-4 years in data pipelines; 2 years in Azure data services; Python/SQL proficiency; data security/compliance knowledge; Agile experience; ML/AI data support.

Imagine Your Future with Us! Since 1971, Paychex has been at the forefront of simplifying HR, payroll, and benefits for American businesses. Our digital HR technology and advisory solutions cater to the changing needs of employers and their employees. With our award-winning training and endless opportunities for growth and development, you can build a lifelong career with us. We pride ourselves on fostering an inclusive and innovative culture. Our leaders are here to support your career journey; they and our dedicated employees embody the values that drive us to support each other, our clients, and our communities. Join us to pursue your passion and unleash your potential. Overview Join our team as a Database Engineer Level 1, contributing to the development and maintenance of data architectures and platforms, while ensuring efficient operations through troubleshooting and issue remediation. This role provides opportunities to work with a diverse array of data technologies and gain exposure to cutting-edge AI tools that can enhance your engineering capabilities. Responsibilities <ul type="disc"><li>Assist in the development, optimization, and implementation of scalable and robust data pipelines and ETL processes using tools like Informatica, Fivetran, DBT, or OpenFlow to transform and load data into data warehouses such as Snowflake</li><li>Administer modern Data Lakehouse Platforms such as Snowflake, One Lake, and Databricks</li><li>Support the design and implementation of data models to accommodate various business needs</li><li>Integrate and work with diverse data sources, such as Oracle, SQL Server, MongoDB, and PostgreSQL</li><li>Participate in the setup and monitoring of streaming data platforms, using tools like Kafka and Amazon Kinesis</li><li>Ensure data quality and integrity by implementing validation and monitoring processes</li><li>Collaborate with team members to optimize the performance of existing data infrastructure</li><li>Perform troubleshooting and diagnose issues within data pipelines and systems to ensure smooth operations</li><li>Work within Agile development practices, including participation in Scrum meetings and sprint planning</li><li>Preference for familiarity with AI tools, such as GitHub Copilot, to enhance development efficiency</li></ul> Qualifications <ul type="disc"><li>Bachelor’s degree in Computer Science, Information Technology, or a related field.</li><li>2-5 years of experience in data engineering, database administration, or related work.</li><li>Hands-on experience or familiarity with the tools and technologies listed in the responsibilities.</li><li>Strong analytical skills, with a problem-solving mindset.</li><li>Effective communication and teamwork abilities.</li><li>Experience with Agile development practices, particularly Scrum.</li><li>Experience with Development tools such as Github, Visual Studio, etc.</li><li>Experience programming with languages such as Java, Javascript and Python.</li><li>Ability to troubleshoot and resolve basic operational issues within data systems.</li></ul> Compensation In the spirit of pay transparency, we are excited to share that the starting base pay range for this position is $76,700 - $120,600. Please keep in mind that this range is the base pay only and does not consider other components that make up the total rewards package for the position. If you are hired at Paychex, your overall compensation will be determined based on factors such as geographic location, skills, education, and/or experience which may result in total compensation outside of this range. Live the Paychex Values <li>Act with uncompromising integrity.</li>
<li>Provide outstanding service and build trusted relationships.</li>
<li>Drive innovation in our products and services and continually improve our processes.</li>
<li>Work in partnership and support each other.</li>
<li>Be personally accountable and deliver on commitments.</li>
<li>Treat each other with respect and dignity.</li> What's in it for you? <ul><li>We value your well-being: We provide over 21 comprehensive rewards, including medical coverage, virtual wellness classes, tuition reimbursement, 401(k) + employer match, adoption assistance, financial assistance, and much more.</li>
<li>We value your time: From paid time off to company holidays, culture days, and comprehensive work-life balance programs, we will ensure you have the flexibility you need to be your best.</li>
<li>We value your development: Our award-winning training and development programs empower our employees with ongoing learning opportunities to give you the building blocks to grow your career.</li>
<li>We value your perspective: Our company culture reflects the diversity of our employees. We want you to be you and your voice to be heard.</li>
<li>We value our communities: We offer paid time off for volunteerism and promote many company-wide and local initiatives that benefit organizations you care about.</li>
 Note: The benefits described apply to full-time employees. Benefits for part-time, contract, and intern roles may vary. Not sure if you meet every requirement? At Paychex, we know that great talent comes in many forms. If you're passionate about the role but don't check every box, we still encourage you to apply. You might be the right fit - either for this position or another opportunity with us. 
Paychex is an equal opportunity employer. We are committed to fostering a respectful and inclusive workplace where all individuals are treated fairly and evaluated based on their qualifications, experience, and merit. We comply with all applicable federal, state, and local laws prohibiting discrimination in employment.

Database Engineer I

Bachelor’s degree; 2-5 years data engineering experience; strong analytical/problem-solving; Agile/Scrum experience; programming in Java, JavaScript, Python; GitHub/Visual Studio familiarity.

A great company begins with a great team! Mid Penn Bank is actively seeking Lead Analytics Engineer to join our team in Wyomissing or Harrisburg, PA.We believe that our ongoing success depends upon a skilled, satisfied, and valued work force. As a member of our team, you can expect opportunities to develop your skills to help you excel in your role and achieve your professional career goals. We offer a comprehensive range of flexible benefits to support your personal and financial well-being. Our inclusive culture encourages all employees to share ideas, collaborate, and contribute to the values that make us a winning team for our customers, shareholders, and communities.&nbsp;Position OverviewThe Lead Analytics Engineer is responsible for designing, implementing and optimizing data strategies throughout various platforms, with a focus on data integrity, security and efficient pipelines. This individual plays a crucial role in ensuring that the organization&rsquo;s data is aligned with business needs and requirements of the company. The Lead Analytics Engineer assumes responsibility for leveraging data assets by designing robust solutions, ensuring integrity and adhering to governance frameworks. Essential Duties and Responsibilities<ul style="list-style-type: disc;margin-left: 0in;"><li style="color: rgb(0, 0, 0); font-family: arial, sans-serif;">Designs, implements, and manages scalable data models and solutions using Snowflake, SQL, Azure, and other tools.</li><li style="color: rgb(0, 0, 0); font-family: arial, sans-serif;">Leads the migration of data from traditional relational databases, and other applications to Snowflake.</li><li style="color: rgb(0, 0, 0); font-family: arial, sans-serif;">Ensures data integrity and optimizes workflows within Snowflake.</li><li style="color: rgb(0, 0, 0); font-family: arial, sans-serif;">Collaborates with cross-functional teams to integrate data governance and science tools.</li><li style="color: rgb(0, 0, 0); font-family: arial, sans-serif;">Creates, implements, and maintains effective and relevant management reporting solutions for various business units.</li><li style="color: rgb(0, 0, 0); font-family: arial, sans-serif;">Establishes data-related goals and aligns them with business objectives.</li><li style="color: rgb(0, 0, 0); font-family: arial, sans-serif;">Suggests new information-based solutions to help drive efficiencies and informed decision-making.</li><li style="color: rgb(0, 0, 0); font-family: arial, sans-serif;">Designs and implements data collection and process improvements to improve the efficiency of the group&rsquo;s reporting and the quality of output provided to other stakeholders.</li><li style="color: rgb(0, 0, 0); font-family: arial, sans-serif;">Works with leadership, Information Security and Risk Management to develop data governance and best practice standards.&nbsp;</li><li style="color: rgb(0, 0, 0); font-family: arial, sans-serif;">Prepares departmental reporting based on metrics to identify trends and areas for improvement.</li><li style="color: rgb(0, 0, 0); font-family: arial, sans-serif;">Reports pertinent information to the immediate supervisor as requested, or according to an established schedule; compiles information as necessary or as directed and provides data to appropriate personnel.</li><li style="color: rgb(0, 0, 0); font-family: arial, sans-serif;">Maintains regulatory compliance and sound operating environments by writing, updating, and adhering to policy and procedures.</li><li style="color: rgb(0, 0, 0); font-family: arial, sans-serif;">Plays an active role in protecting the organization and its customers against fraud by incorporating risk awareness and prevention into daily responsibilities.</li></ul> Education &amp; Qualifications<ul style="list-style-type: disc;margin-left: 0in;"><li style="color: rgb(0, 0, 0); font-family: arial, sans-serif;">A B.S. or B.A. degree in business administration, data science, information science or related field; specialized financial services training preferred.</li><li style="color: rgb(0, 0, 0); font-family: arial, sans-serif;">A minimum of three (3) years of related experience normally required.</li><li style="color: rgb(0, 0, 0); font-family: arial, sans-serif;">Strong expertise with Snowflake architecture and best practices in cloud data.&nbsp;</li><li style="color: rgb(0, 0, 0); font-family: arial, sans-serif;">Hands-on experience migrating data workflows to Snowflake or other cloud-native platforms.</li><li style="color: rgb(0, 0, 0); font-family: arial, sans-serif;">Solid SQL and Python programming skills for data analysis and automation.</li><li style="color: rgb(0, 0, 0); font-family: arial, sans-serif;">Report writing experience using query and visualization tools.</li><li style="color: rgb(0, 0, 0); font-family: arial, sans-serif;"><a href="https://www.bing.com/ck/a?!&&p=78b1c0e6bbb4bc014be6bf897ecb9d91ba690575bbdb7c383432ec3725df3501JmltdHM9MTc3NjAzODQwMA&ptn=3&ver=2&hsh=4&fclid=330c8646-73c1-6da8-2948-908c727c6cf9&u=a1aHR0cHM6Ly9qb2ItYm9hcmRzLmdyZWVuaG91c2UuaW8va3VuYWkvam9icy81MTAzNzgxMDA3&ntb=1" target="_blank" style="color: rgb(0, 0, 0); font-family: arial, sans-serif;">Familiarity with data governance principles and integration of governance/data science tools (dbt Core/Cloud experience).</a></li></ul>&nbsp;Skill(s)&nbsp;Leadership and planning; team building and coaching; advanced project management; proficient SQL and Python experience; advanced analytical skills, advanced reading, writing, grammar, and mathematics skills; excellent interpersonal relations and communicative skills; proficiency in analyzing, interpreting, and implementing strategy; proficient composition skills; competency with PC and software operations; ability to sit, stand, walk, bend, stoop, reach with hands or arms, use hands to manipulate objects, handle or feel, and lift items weighing 20 lbs. or less; visual, auditory, and speaking skills.&nbsp;Equipment/Machines&nbsp;<ul style="list-style-type: disc;margin-left: 30.5px;"><li style="color: rgb(0, 0, 0); font-family: arial, sans-serif;">Telephone</li><li style="color: rgb(0, 0, 0); font-family: arial, sans-serif;">PC/Computer keyboard</li><li style="color: rgb(0, 0, 0); font-family: arial, sans-serif;">Mobile Devices</li><li style="color: rgb(0, 0, 0); font-family: arial, sans-serif;">Printers</li><li style="color: rgb(0, 0, 0); font-family: arial, sans-serif;">Calculator</li><li style="color: rgb(0, 0, 0); font-family: arial, sans-serif;">Fax machine</li><li style="color: rgb(0, 0, 0); font-family: arial, sans-serif;">Copy machine</li></ul>&nbsp;Pay TransparencyWe set standard salary ranges for our roles based on the position, function, and responsibilities, as benchmarked against similarly sized companies in our industry. Specific compensation offered will be determined based on a combination of factors including the candidate&rsquo;s knowledge, skills, depth of work experience, and relevant licenses/credentials. The salary range may vary based on geographic location.BenefitsMid Penn Bank offers a comprehensive benefits package to those who qualify. This includes medical plans with prescription drug coverage; flexible spending account, dental and vision insurance; life insurance; 401(k) program with employer match and employee stock purchase plan; paid time off, paid holidays; disability insurance coverage, parental leave; employee assistance program, and tuition reimbursement.&nbsp;In addition, all employees are eligible to participate in mentorship programs, receive individualized development and career counseling, and participate in Mid Penn University courses and development programs.&nbsp;EEO StatementQualified applicants are considered without regard to race, color, age, sex, sexual orientation, gender identity, religion, national origin, genetic information, pregnancy, disability, or protected veteran status. We also comply with all applicable laws governing employment practices and do not discriminate on the basis of any unlawful criteria.&nbsp;Equal Opportunity Employer&ndash;Minorities/Females/Veterans/Individuals with Disabilities/Sexual Orientation/Gender IdentitySponsorship StatementAs a condition of employment, individuals must be authorized to work in the United States without sponsorship for a work visa by Mid Penn Bank currently or in the future.

Lead Analytics Engineer

Three+ years of related experience; strong Snowflake, SQL, Python; experience with data governance and cloud data architectures.

Overview:
Good things are happening at Berkshire Hathaway GUARD Insurance Companies—an A+ (Superior) rated, nationwide Property & Casualty insurer backed by Berkshire Hathaway. With supportive leadership, collaborative teams, and opportunities to grow, GUARD is a place where people build meaningful, long‑term careers. Good Things You Can Count On. •  Hybrid schedule: 2 days remote / 3 in‑office •  Predictable hours (no nights, weekends, or holidays) •  Competitive pay + generous PTO •  Medical, dental & vision starting day one •  401(k), tuition reimbursement & longevity bonuses 

Responsibilities:
At Berkshire Hathaway GUARD, we’re not just insuring-we’re innovating. Our Data & Analytics (DnA) organization is at the heart of transforming how we assess risk, serve customers, and shape the future of insurance. We’re seeking AVP of Data/AI Platform Services – Infrastructure & Agentic Solutions to lead the execution of our most strategic data initiatives. What You’ll Do<ul style="margin-top: 0in;"><li style="margin-bottom: 8.0pt;">Hands-On Development: Design, build, and maintain reusable code, deployment templates, and automation scripts for Fabric workloads. Focus on PowerBI, Fabric Data Agents, Fabric IQ, Foundry IQ. Embed platform policies for data access, privacy, and model governance; integrate with enterprise controls (DLP, encryption, key mgmt.)</li><li style="margin-bottom: 8.0pt;">Service Ownership: Define and automate environment provisioning (capacities/workspaces, workspaces-as-code), onboarding, RBAC, secrets, and connectivity. Stand up end-to-end observability (data & AI asset monitoring, lineage, quality SLAs/SLOs) and continuously upgrade monitoring with domains.</li><li style="margin-bottom: 8.0pt;">Customer Success: Partner with colleagues on the Platform and as well as the domain senior engineers to deliver tailored solutions and ensure adoption of best practices.</li><li style="margin-bottom: 8.0pt;">Team Leadership: Mentor a team of engineers and architects.</li><li style="margin-bottom: 8.0pt;">Innovation: Drive automation, governance, and operational excellence across services.</li><li style="margin-bottom: 8.0pt;">Collaboration: Align services with Platform product roadmap and work closely with Domain Success teams.</li></ul> KPIs & Success Metrics<ul style="margin-top: 0in;"><li style="margin-bottom: 8.0pt;">Service Delivery: 95%+ on-time delivery of service features and enhancement requests.</li><li style="margin-bottom: 8.0pt;">Automation Coverage: 90%+ of deployments automated via CI/CD pipelines.</li><li style="margin-bottom: 8.0pt;">Customer Satisfaction: Maintain CSAT score of 4.5+/5 for service engagements.</li><li style="margin-bottom: 8.0pt;">Operational Efficiency: Reduce deployment cycle time by 50% within 12 months.</li><li style="margin-bottom: 8.0pt;">Innovation Impact: Launch at least 2 new automation or optimization features per quarter.</li></ul> This role will own and drive two core service pillars of our platform:<ol style="margin-top: 0in;"><li style="margin-bottom: 8.0pt;">Microsoft Fabric Infrastructure provisioning and monitoring Services</li><ul style="margin-top: 0in;"><li style="margin-bottom: 8.0pt;">Provision GUARD DnA Domain customers Fluidity platform Infrastructure and Monitoring Services.</li><li style="margin-bottom: 8.0pt;">Work with the Domain customers to continuously upgrade the monitoring services to improve the overall observability of domain’s Data and AI assets.</li></ul><li style="margin-bottom: 8.0pt;">Agentic Services (Fabric Data Agents, Co-Pilot/Foundry Agents)</li><ul style="margin-top: 0in;"><li style="margin-bottom: 8.0pt;">Design and deploy Multi-Agentic Framework that includes the agents developed in Fabric, Co-Pilot Studio/Foundry to automate the domain processes (patterns for routing, tool use, human-in-the-loop, guardrails, cost control)</li><li style="margin-bottom: 8.0pt;">Define service boundaries and APIs that let domain teams compose agents with data/analytics products. Align designs to the Platform roadmap and domain-success objectives.</li></ul></ol>This is a hands-on leadership role—you will build and maintain code, prompt templates policy enforcement, content filters, auditability and other technical assets within Microsoft Fabric workloads, especially PowerBI, Data Agents, Fabric and Foundry IQs, while scaling services and leading a team.

Qualifications:
<ul style="margin-top: 0in;"><li style="margin-bottom: 8.0pt;">Experience: 10+ years in data/platform engineering, DevOps, or applied ML; 5+ years leading architecture or technical delivery in enterprise settings.</li><li style="margin-bottom: 8.0pt;">Proven, hands-on expertise with Microsoft Fabric (Data Engineering/Lakehouse, Pipelines, Warehouse, Notebooks) and Fabric Git integration; strong Python/SQL; PowerShell for automation.</li><li style="margin-bottom: 8.0pt;">Proven ability to scale teams and deliver enterprise-grade solutions.</li><li style="margin-bottom: 8.0pt;">Ability to translate business objectives into technical solutions and service offerings.</li><li style="margin-bottom: 8.0pt;">Strong mentoring and communication skills.</li><li style="margin-bottom: 8.0pt;">Insurance industry experience preferred.</li><li style="margin-bottom: 8.0pt;">Bonus: Prior delivery of multi-agent or Copilot Studio/Foundry solutions tied to business KPIs.</li></ul><div class="iCIMS_JobOptions"><div id="jobOptionsMobile" class="iCIMS_JobOptionsMobile iCIMS_JobOptionsMobile_Options3"> </div></div>Salary Range $127,053-$313,842.10 + bonus  In accordance with applicable pay transparency laws, this range represents a good-faith estimate. Final compensation will be determined based on factors such as experience, credentials, geographic location, and other considerations permitted by law. This role may be based out of any of our office locations, including:New York, NY; Parsippany, NJ; Conshohocken, PA; Wilkes‑Barre, PA; Alpharetta, GA; Rosemont, IL; Plano, TX; Scottsdale, AZ  Applicants must be authorized to work in the U.S. without current or future sponsorship.

AVP of Data Platform – AI Agentic Solutions

10+ years in data/platform engineering, DevOps, or applied ML; 5+ years in enterprise architecture or technical delivery.

Python Data Engineer Jobs in Mountain Top, PA, US

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