Explore 6 python data engineer jobs from 2 hiring companies in Grantham, NH, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Data Engineer Jobs

Fidelity Investments

Dartmouth College

Hybrid

Onsite

<h2></h2><h2>Job Description:</h2><p style="text-align:inherit"></p><p><b><u>Note: Fidelity will not provide immigration sponsorship for this position. </u></b></p><p><b>The Role</b></p><p>We are seeking a Senior Data Engineer to join our Enterprise Data and AI Organization, where you will play a pivotal role in advancing next-generation data and AI capabilities through the design and delivery of innovative solutions. You will collaborate with a global network of engineers as part of a diverse, cross-functional team of highly motivated technologists who value innovation, transparency, and teamwork. The team brings together deep technology and business expertise with a passion for exploring emerging technologies, grounded in the belief that small, empowered, and self-directed teams can deliver exceptional outcomes. </p><p>In this role, you will lead the engineering and development of high-quality software components and applications supporting enterprise-standard data contract services. Beyond hands-on development, you will help define and implement forward-looking solutions that enable effective management and governance of Fidelity’s enterprise data assets.</p><p></p><p><b>The Expertise and Skills You Bring </b></p><ul><li><p>Proven experience designing and delivering cloud-native data and software engineering solutions</p></li><li><p>Hands-on expertise building data pipelines using multiple integration patterns, including batch processing, event-driven architectures, and REST-based APIs</p></li><li><p>Strong proficiency in AWS services, Java, Python, REST APIs, and Kafka</p></li><li><p>Solid understanding of data management concepts, data quality best practices, and experience implementing governance and validation frameworks</p></li><li><p>Demonstrated experience building and supporting CI/CD pipelines using tools such as GitHub, Artifactory, and Jenkins</p></li><li><p>Extensive hands-on experience across all phases of the software development lifecycle (SDLC), including design, development, testing, deployment, and production support</p></li><li><p>Deep technical expertise in data engineering with a strong interest in learning emerging technologies and evolving cloud platforms</p></li><li><p>Ability to work effectively both independently and collaboratively within cross-functional teams</p></li><li><p>Strong problem-solving, analytical, and troubleshooting skills</p></li><li><p>Detail-oriented mindset with a focus on quality, reliability, and performance</p></li><li><p>Ability to thrive in fast-paced, dynamic environments with changing priorities</p></li><li><p>Collaborative team player with a willingness to share knowledge and mentor junior engineers</p></li><li><p>Public cloud certification (AWS or Azure) strongly preferred</p></li></ul><p> <br /><b>The Team </b></p><p>This is an opportunity for a highly motivated Data Engineer to join Enterprise Data and AI Organization where you will contribute to powering the next generation of Fidelity’s digital services through innovative solutions using the latest cloud native technologies and innovative engineering practices. </p><h2></h2><p style="text-align:inherit"></p><h2>Certifications:</h2><h2></h2><p style="text-align:inherit"></p><h2>Category:</h2><h2></h2>Information Technology<p></p><p></p><p><span style="color:#494949">Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Some roles may have unique onsite requirements. Please consult with your recruiter for the specific expectations for this position.</span></p><p style="text-align:left"><span>Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.</span></p>

Senior Data Engineer

Design and deliver cloud-native data and software solutions; build data pipelines; AWS, Java, Python, REST APIs, Kafka; CI/CD; SDLC; cloud certifications preferred.

<h2></h2><h2>Job Description:</h2><p style="text-align:inherit"></p><p></p><p><span class="emphasis-2"><b>The Role</b></span></p><p>Quant &amp; Risk Investments Technology (QRIT) is seeking a highly motivated and experienced Principal Full Stack Engineer to join a team building a cutting-edge, Multi-Asset Class Risk System. This system is a critical tool leveraged by investment professionals across Fidelity for in-depth analysis and research.</p><p></p><p>The individual in this pivotal role will be instrumental in designing and delivering strategic solutions to meet the complex needs of investment professionals and quantitative analysts. The Principal Engineer will collaborate closely with quantitative analysts, quant operations, and peer technology teams within a highly iterative and dynamic delivery model, directly supporting the needs of investment professionals and senior management.</p><ul><li><p>Design, develop, and implement sophisticated solutions while adhering to software development best practices.</p></li><li><p>Ensure the optimized run-time performance, scalability, and robustness of the analytical platform.</p></li><li><p>Collaborate effectively with team members to ensure the seamless integration of new features with existing infrastructure and production environments.</p></li></ul><p></p><p></p><p><span class="emphasis-2"><b>The Expertise and Skills You Bring</b></span></p><ul><li><p>A Bachelor&#39;s or Master’s degree in computer science, Engineering, or a related field.</p></li><li><p>A minimum of 8 years of professional software engineering experience with a focus on Python and database technologies.</p></li><li><p>Expertise in full-stack Python development, with proficiency in libraries such as Pandas, NumPy, and SciPy.</p></li><li><p>Proven experience with development and deployment in an AWS cloud environment, including cloud data storage and access using EFS and S3.</p></li><li><p>A demonstrated ability in building and designing database solutions; experience handling large and complex datasets is a significant advantage.</p></li><li><p>Familiarity with various asset classes, including equities and fixed-income securities, and financial data sources such as Bloomberg, Barra, or FactSet is highly desirable.</p></li><li><p>A strong understanding of portfolio risk and risk-based analytics is considered a plus.</p></li><li><p>The ideal candidate will be a bright, highly motivated, and proactive individual, capable of working effectively both within a small, dynamic team and independently on challenging assignments.</p></li><li><p>The successful applicant will be a skilled engineer who can seamlessly transition between rapid, iterative prototyping and the development of enterprise-grade, robust applications and services.</p></li></ul><p></p><p></p><p><span class="emphasis-2"><b>The Team</b></span></p><p>The Quant &amp; Risk Investments Technology (QRIT) team is responsible for the development and support of the portfolio risk platform covering subject areas such as fund holdings, benchmarks, risk models, risk calculation, security reference data, performance data, and market data. The efforts of this group are essential to investment management, quantitative analysis, and new product development.</p><p style="text-align:inherit"></p><p style="text-align:inherit"></p>The base salary range for this position is $107,000-216,000 USD per year.  <p style="text-align:left">Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.</p><p style="text-align:inherit"></p><p style="text-align:left">Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.   </p><p style="text-align:inherit"></p><p style="text-align:left">We offer a wide range of <a target="_blank" href="https://jobs.fidelity.com/benefits/">benefits</a> to meet your evolving needs and help you live your best life at work and at home.  These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career.  Note, the application window closes when the position is filled or unposted.</p><p>Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.</p><p></p><p>Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please consult with your recruiter for the specific expectations for this position.</p><h2></h2><p style="text-align:inherit"></p><h2>Certifications:</h2><h2></h2><p style="text-align:inherit"></p><h2>Category:</h2><h2></h2>Information Technology

Principal, Full Stack Engineer (Python, Oracle)

Full Stack Engineer

8+ years software engineering with Python and database tech; full-stack Python; AWS experience; strong data handling; knowledge of financial data sources; team and independently capable.

<h2></h2><h2>Job Description:</h2><p style="text-align:inherit"></p><h1><span class="emphasis"><b>Note: Fidelity will not provide immigration sponsorship for this position.</b></span></h1><h1><b><span class="emphasis-2">Senior FinOps Engineer</span></b></h1><p></p><h1><span class="emphasis-2">The Role:</span></h1><p>We’re seeking a highly skilled Senior FinOps Engineer to help drive financial accountability and cost optimization across our cloud and on‑prem infrastructure.  In this role, you will blend cloud financial management, data engineering, analytics, and observability to improve efficiency, performance, and cost transparency across the organization. As a Senior FinOps Engineer in this role, you will:</p><ul><li>Design, build, and maintain scalable data pipelines to support FinOps reporting, forecasting, and automated insights.</li><li>Develop and maintain Power BI dashboards and visualizations to track cloud and application usage, spend, and efficiency metrics.</li><li>Analyze usage patterns to identify cost‑saving opportunities, eliminate waste, and improve infrastructure performance.</li><li>Support and enhance budgeting, forecasting, chargeback, and showback processes across multi-cloud and on‑prem environments.</li><li>Partner with engineering, finance, and product teams to embed FinOps best practices into daily operations.</li></ul><p></p><h1><b><span class="emphasis-2">The Expertise and Skills You Bring:</span></b></h1><ul><li>Possess 5&#43; years experience in FinOps, Cloud Engineering, or Data Engineering.</li><li>Possess hands-on experience with <b>AWS</b> and Azure platforms and services.</li><li>Proficient and possess demonstrated experience with <b>SQL, Python and workflow orchestration tools (e.g., Airflow).</b></li><li>Proficient experience with <b>observability tools (e.g., Datadog, Prometheus, Grafana).</b></li><li>Experience with standard CI/CD development processes. </li><li>Solid understanding of cloud cost management tools and optimization methodologies.</li><li>Strong analytical and communication skills, with the ability to convert data into actionable insights.</li></ul><p></p><h2>Nice to Have:</h2><ul><li><h2>FinOps Certified Practitioner or similar certification.     </h2></li><li>Background in finance or cloud infrastructure operations.</li></ul><h2></h2><p style="text-align:inherit"></p><h2>Certifications:</h2><h2></h2><p style="text-align:inherit"></p><h2>Category:</h2><h2></h2>Information Technology<p></p><p></p><p><span style="color:#494949">Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Some roles may have unique onsite requirements. Please consult with your recruiter for the specific expectations for this position.</span></p><p style="text-align:left"><span>Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.</span></p>

Senior FinOps Engineer

5+ years in FinOps, Cloud or Data Eng; AWS and Azure; SQL, Python; Airflow; observability tools; CI/CD; cloud cost optimization.

<h2></h2><h2>Job Description:</h2><p style="text-align:inherit"></p><p><span class="emphasis-2"><b>The Role </b></span></p><p>Asset Management Technology (AMT) provides worldwide technology and support to all the Investment Management, Research, Trading and Investment Operations functions. We are seeking a Quant Data Engineer to join our Quantitative Research &amp; Investing Technology team. You will be responsible for database engineering aspects of software development, testing and ensuring compatibility with enterprise and solutions architecture by harnessing modern development technologies. You will have the chance to define and develop new capabilities and engage with multiple development teams and partners across the Asset Management technology. You are committed to ongoing development of your own expertise and knowledge to bring the latest capabilities and thinking to your team to empower others with that knowledge. This role will be responsible for designing, developing, and optimizing Oracle PL/SQL-based solutions that power critical risk analytics and reporting workflows.</p><p>As the database lead, you will own the full lifecycle of database development and collaborate closely with both business stakeholders and technical partners. You will play a key role in shaping the data design, ensuring performance and scalability, and driving strategic improvements across our risk infrastructure.</p><p></p><p></p><p><span class="emphasis-2"><b>The Responsibilities You Will Have:</b></span></p><ul><li>Lead the design and development of Oracle PL/SQL database processes, procedures, and packages to support investment risk analytics.</li><li>Architect scalable and efficient database solutions for high-volume, time-sensitive risk data.</li><li>Collaborate with risk managers, quantitative analysts, and engineering teams to gather requirements and deliver robust data solutions.</li><li>Own performance tuning, query optimization, and troubleshooting of production database issues.</li><li>Ensure data integrity, quality, and governance across systems.</li><li>Drive modernization efforts, including migration from legacy systems and adoption of best practices.</li><li>Define and enforce database development standards and documentation.</li><li>Act as a strategic partner in planning long-term data architecture and infrastructure initiatives.</li><li>Apply validated quality software engineering practices through all phases of development.</li><li>Ensure resilience and stability through quality code reviews, unit, regression and user acceptance testing, dev ops and level two production support</li><li>Provide mentorship and technical guidance to junior developers.</li></ul><p></p><p></p><p><span class="emphasis-2"><b>The Expertise and Skills You Bring:</b></span></p><ul><li>10&#43; years of hands-on experience in Oracle PL/SQL development and database engineering.</li><li>Proven expertise in designing and implementing complex database solutions in a production environment.</li><li>Strong understanding of relational database design, indexing strategies, and performance optimization.</li><li>Experience working with investment risk systems or financial data is highly preferred.</li><li>Excellent communication and stakeholder management skills.</li><li>Ability to lead cross-functional initiatives and work independently.</li><li>Familiarity with tools such as Jira, Git, and CI/CD pipelines.</li><li>Experience with data modeling and ETL frameworks.</li><li>Exposure to Python or other scripting languages for data integration.</li><li>Knowledge of cloud-based database solutions (e.g., AWS RDS, Snowflake) is a plus.</li><li>Understanding of financial instruments, risk models, or portfolio analytics is beneficial.</li></ul><p></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p>The base salary range for this position is $126,000-255,000 USD per year.  <p style="text-align:left">Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.</p><p style="text-align:inherit"></p><p style="text-align:left">Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.   </p><p style="text-align:inherit"></p><p style="text-align:left">We offer a wide range of <a target="_blank" href="https://jobs.fidelity.com/benefits/">benefits</a> to meet your evolving needs and help you live your best life at work and at home.  These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career.  Note, the application window closes when the position is filled or unposted.</p><p>Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.</p><p></p><p>Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please consult with your recruiter for the specific expectations for this position.</p><h2></h2><p style="text-align:inherit"></p><h2>Certifications:</h2><h2></h2><p style="text-align:inherit"></p><h2>Category:</h2><h2></h2>Information Technology

Director, Quant Data Engineering

10+ years Oracle PL/SQL development; database engineering; risk analytics; leadership; CI/CD; Python; cloud DB.

<p style="margin: 0in;"><span style="font-size: 12pt;">The <a style="text-decoration: none;" href="https://centerforopenneuroscience.org/" target="_blank">Center for Open Neuroscience (CON<span style="text-decoration: underline;">)</span></a> in the </span><a href="https://pbs.dartmouth.edu/" target="_blank">Department of Psychological and Brain Sciences</a> at Dartmouth College invites applications for a Postdoctoral Researcher to advance the science of neuroscience data management, standardization, and reproducible workflows. This is a research-focused position at the intersection of neuroinformatics, data science, and open standards development -- an opportunity to shape how the field organizes, shares, and reuses its data.</p>
<p style="margin: 0in;"> </p>
<p style="margin: 0in;">The postdoctoral researcher will lead efforts to curate and wrangle neuroimaging and neurophysiology datasets from the Dartmouth Brain Imaging Center and major public archives (DANDI, EMBER, OpenNeuro), converting raw acquisitions into standards-compliant formats and developing best practices for data quality assurance. A core part of the role involves research contributions to the development and refinement of community data standards -- the Brain Imaging Data Structure (BIDS), Neurodata Without Borders (NWB), Hierarchical Event Descriptors (HED), and related specifications -- as well as designing and evaluating reproducible analysis workflows built on versioned data management tools such as DataLad.</p>
<p style="margin: 0in;"> </p>
<p style="margin: 0in;">This is a collaborative position spanning multiple NIH BRAIN Initiative-funded projects. You will work closely with Yaroslav O. Halchenko at Dartmouth College and interact regularly with collaborators across institutions and countries, including developers, standards architects, and neuroscience researchers. The position offers opportunities to publish first-author research, present at scientific conferences, and build leadership within the open neuroscience community. For more information on our work, please visit the Center for Open Neuroscience.</p>
<p style="margin: 0in;"> </p>
<p style="margin: 0in;">The <a href="https://pbs.dartmouth.edu/" target="_blank">Department of Psychological and Brain Sciences</a> at Dartmouth offers the best of a well-resourced, externally funded research university environment along with the integrative and cross-disciplinary nature of a liberal arts institution. In particular, our state-of-the-art research and teaching facility houses human cognitive/social neuroscience and small-animal behavioral/systems neuroscience in the same building. Beyond the department, postdoctoral sch<span style="font-size: 12pt;">olars are supported by the <a style="text-decoration: none;" href="https://guarinigrad.dartmouth.edu/" target="_blank">Guarini School for Graduate and Advanced Studies</a>. The broader neuroscience community includes research programs in the </span>Department of Biological Sciences, Geisel School of Medicine, Thayer School of Engineering, and the cross-departmental Integrative Neuroscience at Dartmouth (<a href="https://sites.dartmouth.edu/ind/">IND</a>) graduate program.</p>
<p style="margin: 0in;"> </p>
<p style="margin: 0in;"><span style="font-size: 12pt;"> <a href="https://home.dartmouth.edu/about">Dartmouth</a> is committed to academic excellence and encourages the open exchange of ideas within a culture of mutual respect. Dartmouth welcomes people with different backgrounds, life experiences, and perspectives and believes that diversity in all its forms enhances academic excellence. Applicants should address in their cover letter how their research, teaching, service, and/or life experiences prepare them to serve Dartmouth’s commitment to academic excellence in an environment that is welcoming to all. </span></p>
<p style="margin: 0in;"> </p>
<p style="margin: 0in;"><span style="font-size: 12pt;"> </span></p>
<p style="margin: 0in;"><span style="font-size: 12pt;"> This position is full-time with the start date negotiable. Residence at Dartmouth in Hanover, NH maybe either full-time or partially remote (subject to negotiation and eligibility). The initial appointment is for 12 months, with possibility of renewal. This position offers a competitive salary and benefits ($67,000 to $77,000 depending on experience). Employment is contingent on authorization to work in the United States. This position is eligible for J-1 visa sponsorship for eligible candidates. </span></p><br/><p><strong>Required:</strong></p>
<ul>
<li><span style="font-size: 12pt;"> PhD in neuroscience, neuroinformatics, computer science, biomedical engineering, or a closely related field, or be ABD with a degree expected by the start of the appointment </span></li>
<li>Hands-on experience with neuroimaging or neurophysiology data: acquisition pipelines, preprocessing workflows, or data curation at scale.</li>
<li>Familiarity with neuroscience data standards: BIDS, NWB, or HED. Experience contributing to standards development (specification writing, validation tools, extension proposals) is a strong plus.</li>
<li>Solid programming skills in Python and comfort with version control (git). Experience with data versioning tools: DataLad, git-annex, DVC, or similar, is highly valued.</li>
<li>A track record of scientific publication and an interest in research on reproducibility, data management methodologies, or standards development.</li>
<li>Ability to work collaboratively in a distributed, international team and to communicate effectively with both technical and domain audiences.</li>
</ul>
<p>We also welcome applications from candidates with strong computational backgrounds who are eager to develop neuroscience domain expertise, or from neuroscientists looking to deepen their informatics and data engineering skills.</p>
<p><strong>Preferred</strong></p>
<ul>
<li>Experience curating or managing datasets for public archives: DANDI, OpenNeuro, or similar repositories.</li>
<li>Contributions to open-source neuroinformatics projects: nipy, nipreps, BIDS-standard, NeurodataWithoutBorders, DataLad, or related ecosystems.</li>
<li>Experience designing or evaluating reproducible analysis workflows, including containerized pipelines (Docker/Singularity) and workflow engines.</li>
<li>Demonstrated efficiency with agentic AI systems for research and development: LLM-powered coding assistants, AI-augmented literature review, or automated data quality assessment.</li>
<li>Familiarity with high-performance computing environments and job schedulers: SLURM, HTCondor.</li>
</ul><br/><p>Please submit all materials electronically via Interfolio:</p>
<ul>
<li>Cover letter, outlining your research interests, experience with data standards or neuroinformatics, and all other relevant aspects of the position description.</li>
<li>CV, including a link to your public code profile (GitHub/GitLab) and contact information for two references.</li>
</ul>
<p>Review of applications will begin March 30, 2026, and continue until the position is filled. For enquiries, please contact Research Professor Yaroslav O. Halchenko, <a href="mailto:yoh@dartmouth.edu">yoh@dartmouth.edu</a>.</p>

Postdoctoral Fellow: Center for Open Neuroscience

Postdoctoral Fellow

PhD in neuroscience, neuroinformatics, computer science, biomedical engineering, or related field; ABD with degree expected by start; hands-on neuroimaging/neurophysiology data experience; familiarity with data standards (BIDS, NWB, HED); strong Python and Git; data versioning tools (DataLad, git-annex, DVC); publications; ability to collaborate across international teams.

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