{"id":3202274,"url":"https://alion.io/job/synechron-aws-cloud-data-engineer","title":"AWS Cloud Data Engineer","company":{"id":5306,"name":"Synechron","domain":"synechron.com","url":"https://alion.io/company/synechron","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":99,"open_postings":23,"ghost_share":0,"stale_share":0.217,"repost_share":0.043,"time_to_fill_p50_days":20,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Piscataway, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":110000,"max":120000,"currency":"USD","period":"year","gross":null,"usd_annual":120000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Databricks","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Tableau","optional":false},{"name":"Agile","optional":true},{"name":"CI/CD","optional":true},{"name":"Delta Lake","optional":true},{"name":"GitHub","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Spark","optional":true}],"status":"closed","first_seen_at":"2026-10-24T08:10:44Z","employer_posted_date":null,"last_verified_at":"2026-10-24T15:20:15Z","board_verified":false,"closed_at":"2026-10-24T15:20:15Z","days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Synechron is seeking an AWS Cloud Data Engineer to develop, maintain, and enhance cloud-based data solutions and analytics pipelines. The role focuses on hands-on data engineering, AWS and Databricks development, data integration, and Power BI reporting.\n\nResponsibilities\nDevelop, maintain, and support scalable data pipelines using Python, Databricks, and AWS services\nBuild data ingestion, transformation, validation, and processing workflows\nWork with structured, semi-structured, and unstructured data sources\nDevelop reliable data processing solutions using Databricks and Apache Spark\nImplement data cleansing, enrichment, transformation, aggregation, and validation processes\nWrite efficient, maintainable, and well-documented code\nTroubleshoot data quality, pipeline performance, processing, and integration issues\nCollaborate with application developers, data analysts, BI developers, and business stakeholders\nContribute to data models, data structures, technical specifications, and development documentation\nDevelop and support data solutions using AWS cloud services\nBuild serverless data-processing components using AWS Lambda \nUse Amazon S3 for data storage, staging, archival, and data-lake-related workflows\nIntegrate AWS services into automated data ingestion and processing pipelines\nImplement appropriate error handling, logging, monitoring, and alerting\nSupport secure handling of data, credentials, and configuration\nAssist with deployment, troubleshooting, and operational support of AWS-based data workloads\nFollow established AWS development and security standards\nDevelop notebooks, jobs, workflows, and data transformations in Databricks \nUse Python and PySpark to process and transform data at scale\nBuild and maintain scheduled and event-driven Databricks jobs\nImprove data pipeline performance and optimize processing where necessary\nImplement appropriate partitioning, caching, schema management, and data validation techniques\nSupport integration between Databricks, Amazon S3, MongoDB, and other data sources\nMaintain clear documentation for notebooks, jobs, dependencies, and operational procedures\nDevelop production-quality Python applications, scripts, utilities, and data-processing components\nWrite modular, testable, maintainable, and reusable code\nImplement unit tests, integration tests, validation checks, and error-handling routines\nUse Python libraries and frameworks appropriate to data engineering and AWS development\nIdentify and resolve performance, reliability, and maintainability issues\nFollow agreed coding standards, peer-review practices, and development processes\nWork with MongoDB databases, collections, documents, indexes, and queries\nDevelop processes to extract data from MongoDB and load it into AWS and Databricks environments\nSupport data transformation between document-oriented and analytical data structures\nWrite efficient queries and assist with data-performance optimization\nHandle schema variation, nested data, data quality issues, and changing source structures\nSupport data reconciliation and validation between source and target systems\nDevelop, maintain, and support dashboards, reports, and data models in Microsoft Power BI \nConnect Power BI to appropriate data sources and curated datasets\nCreate effective data models, relationships, calculated columns, and measures using DAX\nDevelop user-friendly visualizations and dashboards based on business requirements\nWork with business users and analysts to understand reporting needs\nValidate report data and troubleshoot discrepancies between reports and source systems\nApply appropriate refresh, performance, security, and deployment practices\nExperience with Tableau is highly desirable and may be useful for supporting existing reporting solutions\nUse GitHub for source control, collaboration, pull requests, code reviews, and issue tracking\nContribute to branching, versioning, and release-management practices\nDevelop and maintain GitHub Actions pipelines for automated build, testing, validation, and deployment\nSupport automated deployment of Python code, Databricks assets, Lambda functions, and related data components\nParticipate in peer reviews and follow established coding and repository standards\nMaintain appropriate documentation for code, pipelines, configuration, and operational procedures\nTroubleshoot failed builds, tests, deployments, and pipeline executions\nWork as an active member of an Agile development team\nParticipate in sprint planning, daily stand-ups, backlog refinement, demonstrations, and retrospectives\nBreak work into clear technical tasks and provide realistic estimates\nCollaborate with product owners, analysts, developers, testers, and stakeholders\nDeliver incremental, tested, and documented solutions\nIdentify risks, dependencies, blockers, and opportunities for improvement\nContribute to continuous improvement of team development and delivery processes\n\nSkills\n8+ years of experience in data engineering, cloud development, software development, or a closely related field\nStrong hands-on experience with Databricks and Apache Spark\nStrong Python development experience, particularly for data processing and automation\nExperience with Tableau in addition to Power BI\nExperience with Delta Lake, Unity Catalog, or Databricks Workflows\nExperience working with data lakes, lakehouses, or modern cloud data platforms\nAWS Lambda\nAmazon S3\nIAM\nCloudWatch\nEvent-driven or serverless integrations\nExperience working with MongoDB and document-oriented data\nExperience developing and supporting data ingestion and transformation pipelines\nExperience using GitHub for source control and collaborative development\nFamiliarity with GitHub Actions and automated CI/CD pipelines\nStrong experience developing reports and dashboards in Microsoft Power BI\nWorking knowledge of data modeling, data quality, data validation, and data integration\nFamiliarity with Agile software development practices\nExperience writing unit tests, integration tests, and data validation checks\nStrong troubleshooting, analytical, and problem-solving skills\nAbility to work collaboratively within a development team\nStrong written and verbal communication skills\n\nBenefits\nThe possibility to work abroad.\n10 days of paid annual leave (plus sick leave and national holidays).\nMaternity & paternity leave plans.\nA comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).\nRetirement savings plans.\nA higher education certification policy.\nCommuter benefits (varies by region).\nExtensive training opportunities, focused on skills, substantive knowledge, and personal development.\nOn-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.\nCoaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.\nCutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.\nA flat and approachable organization.\nA truly diverse, fun-loving, and global work culture.\nFlexible workplace arrangements.\nMentoring.\nInternal mobility.\nLearning and development programs.\n\nCompany Overview\nSynechron is a technology consulting and outsourcing company that helps clients in capital markets, insurance, and banking industries. It was founded in 2001, and is headquartered in New York, New York, USA, with a workforce of 10001+ employees. Its website is http://www.synechron.com.\n\nCompany H1B Sponsorship\nSynechron has a track record of offering H1B sponsorships, with 365 in 2026, 542 in 2025, 628 in 2024, 665 in 2023, 722 in 2022, 720 in 2021, 1404 in 2020. Please note that this does not guarantee sponsorship for this specific role.","description_format":"text","description_chars":7790,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Annual leave","Flexible schedule","Life insurance","Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Software & Embedded Finance","IT Consulting & Digital Transformation","Cloud Consulting & Migration","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-10-24T09:21:00Z"},{"event":"close","at":"2026-10-24T15:20:15Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 452 · green card filings: 49","filings_12m":452,"filings_prev_12m":506,"green_card_filings_12m":49,"median_offered_wage_usd":120434,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":21}],"liveness":null,"pay":{"stated_usd_annual":120000,"is_top_pay":false},"html_url":"https://alion.io/job/synechron-aws-cloud-data-engineer","json_url":"https://alion.io/job/synechron-aws-cloud-data-engineer.json","meta":{"generated_at":"2026-10-28T06:40:08Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":8923,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":5306},"rest":"https://alion.io/mcp/rest/get_company?id=5306"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsynechron-aws-cloud-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsynechron-aws-cloud-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsynechron-aws-cloud-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/synechron-aws-cloud-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsynechron-aws-cloud-data-engineer"}]}