{"id":28947,"url":"https://alion.io/job/mactores-aws-data-engineer-senior","title":"AWS Data Engineer (Senior)","company":{"id":6938,"name":"Mactores","domain":"mactores.com","url":"https://alion.io/company/mactores","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"D","score":52,"open_postings":31,"ghost_share":0.71,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":87,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seattle, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":115000,"max_usd":208000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":340},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"Presto","optional":false},{"name":"pySpark","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2022-08-25T09:06:54Z","employer_posted_date":"2022-08-25","last_verified_at":"2026-10-16T10:55:14Z","board_verified":true,"closed_at":null,"days_open":1513,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":1512},"description":"This is a senior role in our Data Platform Modernization pillar: consolidating and migrating customer data infrastructure on AWS in weeks, not quarters, at meaningfully lower engagement cost than traditional data consulting. Customers come to us after a data program has stalled pipelines nobody trusts, warehouses nobody runs new workloads on, a modernization that produced diagrams instead of production systems.\nAedeon handles automated source discovery, schema mapping, lineage extraction, and parallel-run validation. You own what agents can't: target architecture, data model decisions, pipeline design under real constraints, and the calls that make a cutover safe. You'll build with PySpark and SQL on EMR and Glue, model for Redshift, Snowflake, Athena, and Presto, orchestrate with Airflow and your work will reach production, not a slide deck.\nWhat you will do?\nBuild and maintain data pipelines on Amazon EMR or Amazon Glue that run in production.\nDesign data models and end-user querying on Amazon Redshift or Snowflake, Amazon Athena, and Presto.\nBuild and maintain pipeline orchestration with Airflow.\nWork with customer and internal teams to understand data needs and design the solutions that meet them.\nTroubleshoot and optimize pipelines and data models until they hold up under real load.\nWrite and maintain PySpark and SQL scripts to extract, transform, and load data.\nDocument and communicate technical decisions to technical and non-technical audiences - customers sign off on what we ship.\nTrack new AWS data technologies and judge their impact on the systems we run.\nWhat are we looking for?\nBachelor's degree in Computer Science, Engineering, or a related field.\n3+ years of experience working with PySpark and SQL.\n2+ years of experience building and maintaining data pipelines using Amazon EMR or Amazon Glue.\n2+ years of experience with data modeling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto.\n1+ years of experience building and maintaining pipeline orchestration using Airflow.\nStrong problem-solving and troubleshooting skills.\nExcellent communication and collaboration skills.\nAbility to work independently and within a team environment.\nYou are preferred if you have\nAWS Data Analytics Specialty Certification\nExperience with Agile development methodology\nHow we work?\nWe run a forward-deployed model. Senior engineers embed with the customer's team, own outcomes from discovery through production, and carry the delivery commitment personally fixed dates, with Mactores absorbing overage cost for delays inside our control. Aedeon absorbs scale; you absorb judgment. That means less of your week goes to inventory spreadsheets and manual validation, and more goes to architecture, data modeling, and cutover strategy. The culture is casual and steers clear of rigid corporate habits. We measure ourselves by what ships.","description_format":"text","description_chars":2896,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cloud Consulting & Migration","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2022-08-25T09:06:54Z"}],"visa":[],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.17,"p_room":0.28,"age_days":1512,"expected_fill_days":87,"reasons":["conf:3","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/mactores-aws-data-engineer-senior","json_url":"https://alion.io/job/mactores-aws-data-engineer-senior.json","meta":{"generated_at":"2026-10-16T11:03:25Z","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":9743,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":6938},"rest":"https://alion.io/mcp/rest/get_company?id=6938"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmactores-aws-data-engineer-senior"},{"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%2Fmactores-aws-data-engineer-senior"},{"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%2Fmactores-aws-data-engineer-senior"},{"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/mactores-aws-data-engineer-senior\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmactores-aws-data-engineer-senior"}]}