{"id":1650922,"url":"https://alion.io/job/steampunk-senior-data-warehouse-engineer","title":"Senior Data Warehouse Engineer","company":{"id":3854754,"name":"Steampunk","domain":"steampunk.com","url":"https://alion.io/company/steampunk-5","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["McLean, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":140000,"max":180000,"currency":"USD","period":"year","gross":null,"usd_annual":180000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"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":"AWS Step Functions","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"MySQL","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false}],"status":"live","first_seen_at":"2026-10-02T00:14:38Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-02T14:15:33Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Overview\nWe are seeking a Senior Data Warehouse Engineer to join our team and work closely with clients to develop, optimize, and scale enterprise-grade data platforms, warehouses, and pipelines. We are looking for more than just a “Senior Data Warehouse Engineer,” but a highly skilled data technologist with strong communication and problem-solving abilities who thrives in cloud-based environments.\nContributions\nLead and architect the migration of data environments with a focus on performance, reliability, and scalability.\nDesign, implement, and optimize data warehouse solutions, ensuring best practices in data modeling, storage, and retrieval.\nAbility to examine and understand complex data pipelines.\nAssess, document, and analyze data sources, ETL workflows, and business intelligence tools.\nAddress technical inquiries related to data warehouse customization, integration, and enterprise architecture.\nDevelop and maintain robust data pipelines and ETL processes to support business intelligence and analytics.\nDesign and enforce data governance strategies, ensuring high data quality and compliance.\nWork in an Agile development environment, collaborating with data scientists, engineers, and business stakeholders.\nContribute to the growth of our Data Exploitation Practice by implementing cutting-edge data warehousing solutions.\nQualifications\nAbility to hold a position of public trust with the US government.\n5-7+ years of experience in data engineering, data warehousing, or data architecture.\nProficiency in Python or other object-oriented languages such as Scala, Java, or C++.\nExperience designing and implementing data governance strategies.\nPreferred:\nHands-on experience with big data tools such as Hadoop, Spark, and Kafka.\nExpertise in cloud-based data warehouse solutions, preferably AWS (Redshift, S3, RDS, Glue, Lambda).\nExperience with Databricks, PySpark, SparkSQL preferred\nExperience with ETL tools (SSIS or ADF preferred), data pipeline orchestration, and workflow management tools such as Apache Airflow, Luigi, or AWS Step Functions.\nExperience designing data models, schema design, and entity-relationship diagrams.\nStrong knowledge of SQL and database optimization techniques (Preferably SQL Server. Alternatively, PostgreSQL, MySQL, Oracle).\nBachelor's degree in Computer Science, Information Systems, Engineering, a related technical discipline, or professional experience equivalent.\nDemonstrated ability to lead large-scale data migration efforts.\nAbility to work in a DevSecOps environment, applying CI/CD best practices.\nAbout steampunk\nSteampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $140,000 to $180,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk’s total compensation package for employees. Learn more about additional Steampunk benefits here.\nIdentity Statement\nAs part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.\nSteampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. If you want to learn more about our story, visit http://www.steampunk.com.\nWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.","description_format":"text","description_chars":4024,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-02T00:14:38Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":30,"reasons":["conf:5","win:early","comp:brand"],"computed_at":"2026-10-02T05:45:00Z"},"pay":{"stated_usd_annual":180000,"is_top_pay":true},"html_url":"https://alion.io/job/steampunk-senior-data-warehouse-engineer","json_url":"https://alion.io/job/steampunk-senior-data-warehouse-engineer.json","meta":{"generated_at":"2026-10-03T01:14:48Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1145,"day_limit":5000,"remaining_today":3855,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}