{"id":2677189,"url":"https://alion.io/job/brooksource-data-engineer-ii","title":"Data Engineer II","company":{"id":2385307,"name":"Brooksource","domain":"brooksource.com","url":"https://alion.io/company/brooksource","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","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":55,"max":60,"currency":"USD","period":"hour","gross":null,"usd_annual":120000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"Cassandra","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"DynamoDB","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"HBase","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"closed","first_seen_at":"2026-10-16T05:08:39Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-16T11:14:25Z","board_verified":false,"closed_at":"2026-10-16T11:14:25Z","days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Data Engineer II\nHybrid (Miami, FL or Dallas, TX)\nContract to Hire\nCompensation: $55 – $60 per hour\nABOUT THE ROLE\nBrooksource is seeking a Data Engineer II for a contract-to-hire position based in Miami, FL or Dallas, TX, with a hybrid work schedule. As a key member of our high-performing Data & Analytics team, you will participate in building the next generation of data pipelines and ETL processes, handling complex, large volumes of structured and unstructured data. This role is central to a major infrastructure transformation-migrating our core data platform to AWS and Snowflake-and will be critical to ensuring engineering rigor, operational resilience, and effective knowledge transfer to the internal team.\nYou will work at the intersection of real estate, operations, and AI, helping to build the data foundation that powers pricing models, operational intelligence tools, and strategic decisions across 40+ divisions of one of the nation’s largest homebuilders. The ideal candidate is a hands-on engineer with production experience in AWS data services, Python, and Snowflake, who can build maintainable, observable, and scalable pipelines. You will collaborate with both internal and external partners, deliver consistent productivity, and take pride in owning the quality of your work.\nWHAT YOU'LL DO\nDesign, build, and maintain efficient and scalable data pipelines and ETL processes for large volumes of structured and unstructured data\nOptimize data storage and retrieval methods to ensure performance, scalability, and cost-efficiency\nCollaborate with data scientists, analysts, and business stakeholders to understand data requirements and translate them into technical solutions\nImplement data governance, data security, and compliance measures to protect sensitive data and ensure regulatory compliance\nDevelop and manage data integrations between internal systems and third-party data providers\nConduct performance tuning of SQL queries and data processing workflows to improve system efficiency\nCreate and maintain comprehensive documentation for data pipelines, data models, and related processes\nProvide technical support and mentorship to junior data engineers, guiding them in best practices and problem-solving\nWrite clean, modular Python code for data ingestion, transformation logic, and orchestration, applying software engineering best practices including testing, versioning, and code review\nBuild and maintain data quality frameworks, pipeline observability, and alerting systems to ensure confidence in production data across critical domains such as pricing, supply chain, and sales operations\nContribute to infrastructure-as-code practices using Terraform to provision and manage cloud resources in a repeatable, auditable way (experience a plus; willingness to learn required)\nSupport end-to-end project ownership and knowledge transfer to internal teams\nWHAT YOU BRING\nBachelor’s degree in Computer Science, Engineering, Information Technology, or a related field\n2-4 years of experience in Data Engineering or a related role, with demonstrated success in delivering data solutions\nProficient in SQL, including writing complex queries, query optimization, and performance tuning\nExperience with AWS data services and Snowflake in production environments\nStrong programming skills in Python, Java, or Scala, with experience in data processing frameworks (e.g., Glue, Lambda, S3, dbt, Qlik, Apache Spark, Hadoop)\nExperience with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB) and understanding of their use cases\nExperience with cloud platforms (AWS, Snowflake, Azure) and data services (e.g., Redshift, Data Sync, Appflow, Databricks)\nKnowledge of big data technologies (Hadoop, Spark, Kafka, HBase) and distributed data processing\nFamiliarity with data orchestration tools (e.g., Apache Airflow, Luigi) for scheduling and managing data workflows\nExperience with data versioning and testing tools (e.g., DVC, dbt)\nUnderstanding of data security practices, including encryption, access controls, and data masking\nAbility to design, build, and maintain scalable data pipelines and ETL processes\nStrong collaboration and communication skills, with the ability to work across technical and non-technical teams, translating business requirements into engineering solutions\nWillingness to learn and contribute to infrastructure-as-code practices (e.g., Terraform)\nProven ability to deliver high-quality, maintainable, and observable data solutions in a fast-paced environment\nWHAT'S IN IT FOR YOU\nThe opportunity to deliver impact across one of the largest homebuilders in the United States\nA corporate culture focused on growth, development, and innovation\nFreedom to try new impactful ideas and end-to-end project ownership\nAbility to deploy your work to teams across 40+ divisions and interact directly with those teams\nHybrid work schedule with locations in Miami, FL or Dallas, TX\nHealthcare (medical, dental, vision) and 401k matching\nOccasional travel for team activities and meetings\nPHYSICAL REQUIREMENTS\nThis is primarily a sedentary office position that requires the ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs. Finger dexterity is necessary.\nThis description outlines the basic responsibilities and requirements for the position noted. This is not a comprehensive listing of all job duties. 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