{"id":4191347,"url":"https://alion.io/job/brooksource-senior-data-engineer","title":"Senior Data Engineer","company":{"id":2385307,"name":"Brooksource","domain":"brooksource.com","url":"https://alion.io/company/brooksource","size_band":"201-500","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"contractor","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Irving, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":65,"max":70,"currency":"USD","period":"hour","gross":null,"usd_annual":140000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Replicate","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-11-12T18:51:33Z","employer_posted_date":null,"last_verified_at":"2026-11-12T18:51:33Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Brooksource is recruiting a Senior Data Engineer for a homebuilding and residential construction client. The role builds and modernizes an enterprise data platform, delivering scalable cloud data solutions and pipelines that support analytics, operational intelligence, and AI-driven decision-making.\n\nResponsibilities\nDesign, build, and maintain efficient, scalable data pipelines and ETL/ELT processes for large volumes of structured and unstructured data\nDevelop and optimize cloud-based data solutions using AWS and Snowflake\nArchitect and implement data ingestion frameworks that support batch, incremental, and near real-time processing\nOptimize data storage and retrieval strategies to improve performance, scalability, and cost efficiency\nBuild and maintain data quality frameworks, pipeline observability, monitoring, and alerting systems\nCollaborate with data scientists, analysts, and business stakeholders to understand requirements and translate them into scalable technical solutions\nDevelop and manage integrations between enterprise applications, internal systems, APIs, and third-party data providers\nConduct SQL tuning, performance optimization, and troubleshooting across complex data environments\nWrite clean, modular Python code for ingestion, transformation, orchestration, and automation initiatives\nEstablish and promote engineering best practices including testing, code review, version control, CI/CD, and deployment standards\nCreate and maintain technical documentation for pipelines, data models, architectures, and operational processes\nMentor junior and mid-level engineers while helping establish development standards across the team\n\nSkills\nBachelor's degree in Computer Science, Information Technology, Engineering, or a related field\n6+ years of experience in Data Engineering, Data Platform Engineering, or a related field with a track record of delivering enterprise-scale data solutions\nAdvanced SQL skills including query optimization, performance tuning, and data modeling\nStrong Python development experience for data engineering and automation initiatives\nExperience designing, building, and supporting ETL/ELT pipelines in production environments\nStrong experience with AWS services such as S3, Glue, Lambda, EMR, EKS, EC2, AppFlow, CloudWatch, and related data services\nExperience with Snowflake including data modeling, performance optimization, security, and administration concepts\nExperience with dbt and modern data transformation frameworks\nKnowledge of data governance, security, data quality, and compliance best practices\nExperience working with REST APIs and enterprise system integrations\nStrong understanding of software development lifecycle (SDLC) practices, testing methodologies, code reviews, and version control\nAbility to communicate effectively with both technical and non-technical stakeholders\nProven ability to mentor peers and contribute technical leadership across engineering initiatives\nExperience with Terraform or Infrastructure-as-Code (IaC) methodologies\nExperience with orchestration tools such as Airflow, Prefect, or similar workflow management platforms\nExperience with Qlik Replicate or similar data replication technologies\nAWS Certification\nExperience supporting enterprise analytics, reporting, and AI/ML initiatives\n\nBenefits\nHybrid (3 days onsite)\nCompetitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee's needs.\nA 401(k) plan that includes a company match and is fully vested after you become eligible.\nPaid time off, sick time, and paid company holidays.\nAn Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, and more.\n\nCompany Overview\nBrooksource is a single source for project and supplemental support through contract employment, contract-to-hire labor employment. It was founded in 2000, and is headquartered in Indianapolis, Indiana, USA, with a workforce of 1001-5000 employees. Its website is http://www.brooksource.com.\n\nCompany H1B Sponsorship\nBrooksource has a track record of offering H1B sponsorships, with 10 in 2020. 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