{"id":3959598,"url":"https://alion.io/job/irwin-senior-data-engineer-python-etl-databricks-aws","title":"Senior Data Engineer - (Python, ETL, Databricks, AWS)","company":{"id":3815016,"name":"Irwin","domain":"getirwin.com","url":"https://alion.io/company/getirwin","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS Glue","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"pySpark","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-09T10:45:18Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T10:45:18Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions.\nAt FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big rolein how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipatingour clients’ needs and exceeding their expectations.\nYour Team's Impact\nThe Data Engineering team within Enterprise Solutions & Intelligence owns the Data Lake for all of FactSet’s internal data and empowers employees across the company to leverage that data for insights, analysis, planning, and strategic initiatives. We support company functions in Sales, Finance, Human Resources, Business Operations, and beyond.\nWhat You'll Do\nAs a Senior Software Engineer on this team, you will play a significant role in developing solutions to ingest, maintain, enhance, and expose a variety of internal data from across the company. \nDesign and develop data processing and storage workflows\nCollaborate with other engineers to integrate datasets to establish an end-to-end solution\nBuild and enhance the Enterprise Data Warehouse using Kimball Methodologies and medallion architecture\nExcellent planning, organization, and leadership skills to estimate, track, and complete deliverables.\nProvide production support with occasional after-hours availability.\nYou will collaborate with other engineers within the team, as well as those in Data Intelligence, Platform Infrastructure, and source system data teams to engineer efficient solutions to challenging big data problems. \nYou will partner with stakeholders across FactSet on strategic projects that leverage our Data Lake to achieve concrete strategic outcomes. The team is modernizing our infrastructure, shifting from SQL to Databricks and AI-based solutions, and you will be an active contributor on that endeavour. Security and SOX compliance will be integral to the design and implementation of your work. \nWhat We're Looking For\nBachelor’s degree, preferably in Computer Science or equivalent professional experience.\n5+ years of hands-on experience in designing and implementing data pipelines using Databricks or similar ETL tools (AWS Glue)\n2+ years of experience in Advanced SQL programming working with large data sets\nStrong hands-on experience in SQL and PySpark\nknowledge on Model Context Protocol (MCP) and its concepts\nStrong understanding of LLM models, including their capabilities, limitations, model selection and integration into GenAI applications\nUnderstanding of Lakehouse architecture using Delta Lake or Iceberg\nUnderstanding of REST APIs Integrations, Key Value data stores and Caching technologies\nUnderstanding of core concepts of distributed databases like Redshift, Snowflake etc.\nStrong technical, analytical, troubleshooting, and communication skills\nWhat's In It For You\nAt FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means:\nThe opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up.\nSupport for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days.\nFlexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives.\nA global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions.\nCareer progression planning with dedicated time each month for learning and development.\nBusiness Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging.\nLearn more about our benefits here.\nCompany Overview:\nFactSet (NYSE:FDS| NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn.\nAt FactSet, we celebrate difference of thought, experience, and perspective. 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