Explore 3 python cloud platform developer jobs from 2 hiring companies in Hueytown, AL, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Cloud Platform Developer

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Python Cloud Platform Developer Jobs

Green Dot

Books-A-Million

Hybrid

Onsite

We’re looking for talented professionals to join us in bringing smart money management and payment solutions to everyone’s fingertips.This position is classified as structured hybrid, with an expectation of a minimum of three (3) days per week working in the office and flexibility to work remotely on the remaining days. On-site expectations may evolve over time to support business needs, with clear communication provided in advance.&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt; JOB DESCRIPTIONLocation Requirement This position is open only to candidates who currently reside in one of the following approved locations: New York, NY; Birmingham, AL; Miami, FL; Tampa, FL; Blue Ash or Cincinnati, OH; or Los Angeles, CAJob SummaryGreen Dot Corporation is seeking for a Lead ETL Engineer of large-scale data solutions. You will join a team delivering a transformative next-gen cloud hosted data platform.  The ideal candidate will have a proven track record in implementing next-gen cloud data solutions and transformation pipelines for large scale organizations. We are seeking someone with deep technical skills in a variety of data warehouse related technologies to play an important role in developing and delivering early proofs of concept and production implementation. The successful candidate will have hands-on experience in a multitude of data domains; including building data warehouse models, ETL development, automated testing framework, performance tuning, service delivery, incident resolution tracking, and change management. Key Responsibilities<ul><li>Architecting and maintaining Operational data stores (ODS), Enterprise Data Warehouse (EDW) and associated data intelligence environments including data lakes, data marts, and metadata repositories.   </li></ul><ul><li>Designing and implementing high performance data movement pipelines using multiple ETL tools (Informatica, Azure Data Factory, SQL Packages, etc) with batch and real-time event data streams. </li></ul><ul><li>Developing scalable and re-usable frameworks for ingestion of structured and semi-structured data; and implementing various large-scale settlement and reconciliation frameworks.  </li></ul><ul><li>Designing and creating data architecture and data flow diagrams and collaborating with peers to translate requirements into logical and physical data models.  </li></ul><ul><li>Ensures data warehouse features and capabilities are incorporated into data model designs to optimize performance, resiliency, and scalability.  </li></ul><ul><li>Delivering and presenting proofs of concept to of key technology components to project stakeholders and internal technology leaders.  </li></ul><ul><li>Leading and coordinating the design and operationalization of Data Governance capabilities like – data lineage, data catalog, data quality, etc.  </li></ul><ul><li>Problem-solving of Data warehouse and ODS application issues and production errors, including high level critical production issues that require immediate attention.  </li></ul><ul><li>Write, test and produce production grade ETL data pipeline code in financial services without relying on testing by other groups. </li></ul><ul><li>Implement intelligent testing frameworks that auto-generate test cases, predict bugs, and enable self-healing. </li></ul><ul><li>Leads the creation of test strategy, test planning, and test execution related to all aspects of testing like functional, integration, systems, end-to-end testing, accessibility, database validations, and automation. </li></ul><ul><li>Integrate test suites into CI/CD pipelines (Jenkins, Github). </li></ul>Required Qualifications <ul><li>Bachelor’s and/or master’s degree in computer science, Computer Engineering or related field preferred.  </li></ul><ul><li>8&#43; years of overall software development experience is required primarily with Data warehouse applications, with 3&#43; years in a technical leadership role.  </li></ul><ul><li>3&#43; years of hands-on development experience in Cloud-based data warehouse platform (AWS Redshift preferred) and experience with ETL tools (Informatica Cloud preferred).  </li></ul><ul><li>3&#43; years of development experience with Python scripting experience.  </li></ul><ul><li>Strong knowledge and experience in OLAP data modeling &amp; design.  </li></ul><ul><li>Knowledge of data governance, security, and compliance standards (e.g., SOC 2, PCI DSS).  </li></ul><ul><li>Demonstrated expertise in performance tuning in various DB environments with large volumes of data.  </li></ul><ul><li>Familiarity with CI/CD pipelines (e.g., Jenkins, GitHub Actions) and infrastructure-as-code tools.  </li></ul><ul><li>Expertise in understanding complex business needs, analyzing, designing, and developing solutions.  </li></ul><ul><li>Communication and professional skills and the ability to navigate relationships across business units.  </li></ul>Preferred Qualifications <ul><li>Experience in fintech or enterprise data warehouse platforms. </li></ul><ul><li>Familiarity with data warehouse operational domains such as partner reporting, compliance analytics, and business intelligence. </li></ul><ul><li>Contributions to open-source QA frameworks or technical publications. </li></ul><ul><li>Demonstrated leadership in building scalable QA practices, as outlined in internal QA leadership guidance. </li></ul>**Ability to work in the U.S. without sponsorship** **Ability to meet the location requirement outlined above**POSITION TYPERegularPAY RANGEThe targeted base salary for this position is $139,900 to $199,300 per year. The final compensation will be determined by a number of factors such as qualifications, expertise, and the candidate’s geographical location.&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;We’re Here to Support You—Accommodations Upon RequestGreen Dot is committed to providing an inclusive and accessible hiring experience for all candidates. If you require a reasonable accommodation during any part of the application or interview process, we encourage you to let us know. We will work with you to meet your needs in a way that respects your privacy and ensures equal opportunity. Our goal is to support every applicant in showcasing their talents and potential.Work Authorization Requirement At Green Dot Corporation, we value diversity and strive for fair and inclusive hiring practices. However, we are currently unable to offer visa sponsorship. All applicants must be legally authorized to work in the United States at the time of application and throughout the duration of employment, without the need for current or future sponsorship.Important Notice on Application Accuracy We value integrity in our hiring process. Please ensure that all information provided in your resume and application is accurate and authentic. Submissions found to be fraudulent or misleading will result in disqualification from consideration, and any offers extended may be rescinded.

Lead ETL Engineer

8+ years in data warehousing with cloud platforms, ETL tools, Python, and technical leadership.

We’re looking for talented professionals to join us in bringing smart money management and payment solutions to everyone’s fingertips.This position is classified as structured hybrid, with an expectation of a minimum of three (3) days per week working in the office and flexibility to work remotely on the remaining days. On-site expectations may evolve over time to support business needs, with clear communication provided in advance.&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt; JOB DESCRIPTIONLocation Requirement This position is open only to candidates who currently reside in one of the following approved locations: New York, NY; Birmingham, AL; Miami, FL; Tampa, FL; Blue Ash or Cincinnati, OH; or Los Angeles, CAJob SummaryThis is an exciting opportunity for an experienced Principal Database Engineer for large-scale data solutions. You will join a team delivering a transformative next-gen cloud hosted data platform.The ideal candidate will have a proven track record in implementing NoSQL data stores, real-time event data streaming and transformation pipelines for large scale organizations. We are seeking someone with deep technical skills in a variety of technologies to play an important role in developing and delivering early proofs of concept and production implementation requiring high TPS (1000&#43; transactions/second). The successful candidate will have hands-on experience in a multitude of data domains; including but not limited to; 24 x 7 x 365 enterprise and cloud database infrastructure design and management, security, database design, database development, database tuning, service delivery, incident tracking, and change management.Key Responsibilities<ul><li>Architecting and managing various OLTP application data models associated primarily with NoSQL DBs (Cosmos DB) and additionally Relational DBs (Azure SQL, MS SQL Server or similar)</li><li>Ensuring database features and capabilities are incorporated into data model designs to optimize performance, resiliency, and scalability (with millions of active accounts transacting with very high TPS)</li><li>Architecting and designing enterprise-wide data strategy for data modeling, data pipelines, and data integrations across various environments and technology stacks</li><li>Designing and implementing performant data movement pipelines using real-time event data streams (Apache Kafka, Azure Event Hub, AWS Kinesis, etc)</li><li>Defining and documenting enterprise-wide database standards, patterns &amp; best practice for larger scale adoption for accelerated delivery around data domains</li><li>Bringing thought leadership through understanding the key business objectives and strategically providing data integration solutions to support various data domains</li><li>Clear understanding of Entity Framework concepts and database design supporting microservices architecture development patterns</li><li>Ensuring data security and privacy standards are implemented, including- role-based security, encryption, tokenization, and obfuscation</li><li>Performing problem-solving of application issues and production errors, including high-level critical production issues that require immediate attention</li><li>Developing the data architecture and governance models for systems of engagement and providing the framework for integrating source systems with the transactional databases and/or data warehouses; Ensuring data architectural designs are consistent, maintainable, flexible, extensible, and cost-effective</li><li>Leading and mentoring a team of data engineers by setting standards and best practices for designing and architecting cloud-based data and reporting applications</li></ul>Required Qualifications<ul><li>Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering or related field preferred</li><li>12&#43; years of overall software development experience required (with heavy focus on database centric development)</li><li>4&#43; years of hands-on development experience with combination of NoSQL DBs (Cosmos DB, MongoDB / Cassandra or similar)</li><li>1&#43; year of hands-on development experience with Azure Cosmos DB</li><li>2&#43; years of hands-on development experience with event based streaming technologies (Apache Kafka / Azure Event Hub or similar)</li><li>Strong knowledge and experience in data modeling &amp; design with relational and NoSQL DBs</li><li>Experience with RDMBS (primarily MS SQL Server and Azure SQL); proficiency with advanced SQL concepts (T-SQL, PL/SQL, etc.) that process millions of transactions daily with very high processing rates to support mission-critical databases</li><li>Advanced understanding of SQL engine internals to help design and tune databases to get the optimal performance</li><li>Experience building and scaling distributed, highly available systems in cloud env (Azure / AWS)</li><li>Expertise in understanding complex business needs, analyzing, designing, and developing solutions</li><li>Experience working in a Dev/Ops environment with tools such as Azure Dev Ops, Microsoft Visual Studio Team Services, Chef, Puppet or Terraform</li><li>Experience in handling structured and semi-structured data forms like JSON/XML and normalization of data structures</li></ul>Preferred Qualifications<ul><li>Financial technology domain knowledge</li><li>Knowledge of SQL Server including T-SQL, the writing of complex stored procedures, optimization for performance, and SSIS packages</li><li>Experience with .NET, MVC, C# HTML5 CSS3 AJAX jQuery IIS and Java script</li><li>Microsoft Azure Data Engineer or other cloud certifications</li></ul>**Ability to work in the U.S. without sponsorship** **Ability to meet the location requirement outlined above**POSITION TYPERegularPAY RANGEThe targeted full-time base salary for this position is $134,100 to $201,100 per year. The final compensation will be determined by a number of factors such as qualifications, expertise, and the candidate’s geographical location.&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;We’re Here to Support You—Accommodations Upon RequestGreen Dot is committed to providing an inclusive and accessible hiring experience for all candidates. If you require a reasonable accommodation during any part of the application or interview process, we encourage you to let us know. We will work with you to meet your needs in a way that respects your privacy and ensures equal opportunity. Our goal is to support every applicant in showcasing their talents and potential.Work Authorization Requirement At Green Dot Corporation, we value diversity and strive for fair and inclusive hiring practices. However, we are currently unable to offer visa sponsorship. All applicants must be legally authorized to work in the United States at the time of application and throughout the duration of employment, without the need for current or future sponsorship.Important Notice on Application Accuracy We value integrity in our hiring process. Please ensure that all information provided in your resume and application is accurate and authentic. Submissions found to be fraudulent or misleading will result in disqualification from consideration, and any offers extended may be rescinded.

Principal Database Engineer

Extensive experience with NoSQL and SQL databases, data modeling, streaming, and cloud-based large-scale data platforms.

About the Job This position is located at our Birmingham, AL Home Office. <div align="center" style="text-align:center"> <hr size="2" width="100%" align="center" /> </div> Role Summary Books-A-Million, one of the nation’s leading book retailers, headquartered in Birmingham, is seeking a skilled Data Engineer to support a major digital transformation initiative focused on building a modern, enterprise-grade data lakehouse. This role will design, develop, and maintain scalable data pipelines and architecture, ensuring data integrity, reliability, and performance to support advanced analytics and future data science efforts. The ideal candidate thrives in greenfield environments and is passionate about building high-quality, scalable data systems; experience with data science concepts is a plus. <div align="center" style="text-align:center"> <hr size="2" width="100%" align="center" /> </div> Role Responsibilities Digital Transformation &amp; Data Architecture <ul><li>Support Books-A-Million’s enterprise digital transformation initiative</li><li>Design and build a modern, enterprise-grade data lakehouse architecture</li><li>Establish scalable, foundational data infrastructure in a greenfield environment</li></ul> <div align="center" style="text-align:center"> </div> Data Engineering &amp; Pipeline Development <ul><li>Develop, deploy, and maintain robust, scalable data pipelines</li><li>Implement optimized data storage solutions</li><li>Ensure efficient data ingestion, transformation, and integration processes.</li></ul> <div align="center" style="text-align:center"> </div> Data Quality, Governance &amp; Performance <ul><li>Ensure data integrity, reliability, and system performance</li><li>Maintain high standards for data quality and consistency</li><li>Support sustainable, scalable data operations</li></ul> <div align="center" style="text-align:center"> </div> Analytics &amp; Advanced Capabilities Enablement <ul><li>Build infrastructure to support advanced analytics and future data science initiatives</li><li>Collaborate with Data &amp; Analytics teams to enable reporting and insights</li><li>Contribute to expanding enterprise data capabilities</li></ul> <div align="center" style="text-align:center"> </div> Innovation &amp; Continuous Improvement <ul><li>Thrive in build-from-scratch environments</li><li>Identify opportunities to improve scalability and system efficiency</li><li>Apply forward-thinking, problem-solving approaches to data system design</li></ul> <div align="center" style="text-align:center"> <hr size="2" width="100%" align="center" /> </div> Role Qualifications • Bachelor’s degree in computer science, Engineering, or a related technical field or appropriate experience. • Proven experience as a Data Engineer, ETL Developer, or in a similar role. • Strong programming skills in a language such as Python, Java, or Scala. • Proficiency in SQL and experience with relational and non-relational databases. • Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services (e.g., S3, Redshift, BigQuery). • Experience with data pipeline and workflow orchestration tools (e.g., Airflow, Prefect, Dagster, Fivetran). • Familiarity with data modeling concepts and best practices. • A huge plus: Experience or knowledge in data science, machine learning, or statistical modeling. • Strong problem-solving skills and the ability to work independently and as part of a team. <div align="center" style="text-align:center"> <hr size="2" width="100%" align="center" /> </div> The Perks At Books-A-Million, we believe in taking care of our employees. As part of the team, you’ll enjoy a comprehensive benefits package, including: <ul><li>Competitive Compensation: We offer competitive pay and performance-based incentives.</li><li>Health &amp; Wellness: Medical, dental, and vision insurance to keep you healthy.</li><li>Paid Time Off (PTO): Enjoy generous PTO and paid holidays.</li><li>Employee Discounts: Get discounts on books and other products across our stores.</li><li>Retirement Savings: Build your future with our 401(k) plan and company contributions.</li></ul> <div align="center" style="text-align:center"> <hr size="2" width="100%" align="center" /> </div> Equal Employment Opportunity (EEO) Statement Books-A-Million is an equal opportunity employer committed to fostering a diverse, inclusive, and welcoming workplace. We celebrate and embrace differences, and we strive to create an environment where every individual feels valued and empowered. We do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law. All qualified applicants will receive consideration for employment without regard to their background or personal characteristics. We are dedicated to creating a culture of respect, equity, and opportunity for all employees, and we encourage individuals from all backgrounds to apply.

Data Engineer

Bachelor’s degree in CS or engineering; proven Data Engineer/ETL; Python/Java/Scala; SQL and databases; cloud platforms (AWS/Azure/GCP); data pipelines and orchestration; data modeling; data science knowledge a plus.

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