{"id":189699,"url":"https://alion.io/job/keystone-ae-data-engineer","title":"Data Engineer","company":{"id":2509583,"name":"Keystone","domain":"keystone.com","url":"https://alion.io/company/keystone","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":95,"open_postings":22,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":129,"computed_at":"2026-10-17T05:46:00Z"}},"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":["Boston, United States","New York, United States","San Francisco, United States","Washington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":123000,"max":175025,"currency":"USD","period":"year","gross":null,"usd_annual":175025},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Keystone Engine","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false},{"name":"Tableau","optional":false},{"name":"Terraform","optional":false},{"name":"Assembly","optional":true}],"status":"live","first_seen_at":"2026-01-19T12:16:36Z","employer_posted_date":"2026-08-21","last_verified_at":"2026-10-18T03:15:19Z","board_verified":true,"closed_at":null,"days_open":271,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":271},"description":"Keystone is a premier economics, technology, and strategy consulting firm built to help companies lead through transformation. As breakthrough innovations reshape industries, redefine competition and change our society, complex and highly competitive ecosystems emerge. Keystone advises technology leaders, Fortune 100 companies, their legal counsel, and governments on business, economic, litigation, and regulatory strategy in relation to these innovations and competitive eco-systems. We operate globally from offices in New York City, Boston, San Francisco, Seattle, London, Dubai, and Washington, D.C.\nK.ATS Foundry is Keystone’s engineering center of excellence, embedding data, platform, and forensic expertise into the firm’s most complex and high-impact projects. Foundry builds secure, reusable infrastructure and scalable technical solutions that accelerate project delivery and ensure defensible, data-driven outcomes. Our engineers work across disciplines-from automating data pipelines and managing cloud platforms to conducting forensic code investigations-helping every engagement start faster, run smoother, and deliver greater impact. \nAbout the Data Engineer Role\nYou will lead the design and implementation of reproducible, scalable data workflows that power Keystone’s most data-intensive projects. You will architect infrastructure, guide technical implementation across engagements, and develop reusable frameworks that accelerate work across the firm. \nThis role sits at the intersection of data engineering, platform design, and applied analytics, supporting cross-disciplinary teams in building data systems that are robust, defensible, and automation-first. You’ll serve as a senior individual contributor and mentor, own project-level architecture, shape technical standards, and contribute to Foundry’s shared engineering culture.\nKey Responsibilities\nTechnical Leadership \nArchitect and implement end-to-end data pipelines, transformations, and infrastructure across cloud environments (AWS, GCP, Azure, Snowflake).\nDevelop reproducible workflows using Infrastructure as Code and data orchestration tools (Airflow, dbt, Spark, or equivalent).\nDesign data models and storage systems optimized for performance, scalability, and defensibility in regulatory and litigation contexts.\nBuild and maintain reusable templates, libraries, and automation frameworks that improve engineering efficiency across projects.\nConduct code reviews, mentor peers, and ensure technical rigor and reproducibility in all project deliverables. \nCollaboration and Delivery \nPartner with client-facing teams, economists, and data scientists to translate analytical goals into scalable, automated data solutions.\nCollaborate with Platform and Forensic Engineering peers to develop integrated solutions across Foundry focus areas.\nSupport the design and delivery of data visualization and analytic tooling (e.g., Power BI, Tableau, Streamlit) for client and internal projects.\nContribute to documentation and internal guides that capture lessons learned, reusable modules, and technical standards. \nPractice Development \nMentor junior engineers and foster adoption of best practices in data architecture, version control, testing, and CI/CD.\nParticipate in Scaling Days to share learnings, refine templates, and advance the firm’s reusable engineering assets.\nIdentify opportunities to generalize project solutions into reusable Foundry tooling and QuickStarts.\nContribute to research and evaluation of emerging technologies (e.g., SQLMesh, OpenLineage, LLM data evaluation pipelines).\nTravel 10 - 25% depending on project assignments.\nWhat You'll Bring\n6+ years of experience in data engineering, data infrastructure, or software engineering roles.\nDeep proficiency in Python, SQL, and modern data stack tools (Airflow, dbt, Spark, Snowflake, BigQuery, or equivalent).\nStrong understanding of cloud architecture and Infrastructure as Code (Terraform, CloudFormation, or similar).\nExperience with version control, CI/CD workflows, and containerization (Docker, Kubernetes).\nProven ability to architect and optimize large-scale data systems for performance, reliability, and reproducibility.\nExcellent communication skills with the ability to convey technical concepts to non-technical audiences.\nDemonstrated collaboration across disciplines and commitment to mentoring and technical excellence.\nBachelor’s or advanced degree in Computer Science, Engineering, or related field. \nPreferred Experience\nPrior experience at a consulting firm or matrix-based organization.\nExperience developing internal libraries, frameworks, or automation solutions.\nFamiliarity with data governance, lineage tracking, or privacy-preserving techniques.\nExposure to AI/ML data pipelines, LLM evaluation, or text analytics systems. \nIn addition to annual salary, we provide annual 401k contributions and competitive benefits package. Actual Compensation within the range will depend upon the level the individual is hired into based on their skills, experience, and qualifications.\nAnnual Salary Range\n$123,000—$175,025 USD\nAt Keystone we believe diversity matters. At every level of our firm, we seek to advance and promote diversity, foster an inclusive culture, and ensure our colleagues have a deep sense of respect and belonging. If you are interested in growing your career with colleagues from varied backgrounds and cultures, consider Keystone.","description_format":"text","description_chars":5432,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Advisory, Valuation & Restructuring","Management Consulting"],"lifecycle":[{"event":"open","at":"2026-09-02T10:36:10Z"}],"visa":[],"liveness":{"score":18,"band":"cold","label":"Long shot","p_open":1,"p_active":0.643,"p_room":0.28,"age_days":270,"expected_fill_days":129,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":175025,"is_top_pay":true},"html_url":"https://alion.io/job/keystone-ae-data-engineer","json_url":"https://alion.io/job/keystone-ae-data-engineer.json","meta":{"generated_at":"2026-10-18T05:50:17Z","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":8710,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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":2509583},"rest":"https://alion.io/mcp/rest/get_company?id=2509583"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fkeystone-ae-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%2Fkeystone-ae-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%2Fkeystone-ae-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/keystone-ae-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fkeystone-ae-data-engineer"}]}