{"id":1927036,"url":"https://alion.io/job/icf-data-engineer","title":"Data Engineer","company":{"id":2632,"name":"ICF","domain":"icf.com","url":"https://alion.io/company/icf","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":12,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-10-06T05:45:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Reston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":108006,"max":183610,"currency":"USD","period":"year","gross":null,"usd_annual":183610},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Kubernetes","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Alation","optional":true},{"name":"Collibra","optional":true}],"status":"live","first_seen_at":"2026-10-05T20:21:24Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-06T22:05:02Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"ICF is seeking a skilled Data Engineer to join our Corporate IT organization. You will design, build, and maintain the data infrastructure that powers insights and decision-making across our practices and support organizations. Working at the intersection of enterprise data platforms and client-facing analytics, you will have direct impact on how our firm manages and monetizes its most asset - data.\nThis is a high-visibility role reporting to the Enterprise Data Architect. You will collaborate closely with data analytics, cloud architecture, and application development teams in a fast-paced, client-driven environment.\nKey Responsibilities\nDesign, build, and optimize scalable ETL/ELT pipelines that move data across on-prem, cloud, and hybrid environments\nImplement and manage enterprise data warehouses, data lakes, and Lakehouse solutions (Microsoft Fabric)\nWrite production-quality SQL, Python, and Spark code for data transformation, enrichment, and validation\nImplement and enforce data governance, lineage tracking, and cataloging standards across the organization\nEnsure data quality through automated monitoring, testing frameworks, and SLA adherence\nPartner with data analysts, data scientists, and business stakeholders to understand and fulfill data requirements\nSupport CI/CD practices and infrastructure-as-code for data platform deployments\nDocument data models, pipeline flows, and technical specifications to support knowledge transfer\nTechnical skills\nLanguages & querying\nSQL (advanced) Python PySpark Bash/Shell Scala\nCloud & platforms\nMicrosoft Fabric Azure Synapse Azure Data Factory\nOrchestration & pipelines\nApache Airflow dbt Databricks Kafka Spark\nInfrastructure & DevOps\nTerraform Docker Kubernetes GitHub Actions CI/CD\nQualifications\nBasic Qualifications\nBachelor's degree\n4+ years of experience in data engineering, data architecture, or a closely related role\nAdditional Qualifications\nDemonstrated experience building and maintaining production data pipelines at scale\nExperience working in a professional services, consulting, or enterprise IT environment preferred\nAdvanced SQL and proficiency in at least one scripting language (Python strongly preferred)\nHands-on experience with a major cloud data platform (AWS, Azure, or GCP)\nStrong understanding of data modeling concepts and frameworks - star schema, Data Mesh\nPractical experience with workflow orchestration tools such as Apache Airflow or Azure Data Factory\nFamiliarity with version control (Git) and software development best practices\nPreferred Skills/Experience\nFamiliarity with streaming/real-time data processing (Kafka, Fabric Event Streams, or Spark Streaming)\nExposure to data governance frameworks and metadata management tools (Microsoft Purview, Collibra, Alation)\nCloud certifications (Azure Data Engineer Associate, or equivalent)\nMaster's degree in a relevant field\nProfessional Skills\nStrong analytical and problem-solving skills with attention to data accuracy and quality\nEffective communicator - able to translate complex technical concepts for non-technical stakeholders\nCollaborative team player comfortable working across cross-functional teams\nSelf-directed with ability to manage multiple priorities in a deadline-driven environment\nBot and Third-Party Applications\nPlease note that this application must be submitted directly by the applicant for consideration. Failure to do so may result in the application being excluded for consideration. Applicants needing an accommodation for disability or religious purposes in connection with the application process should contact  for assistance.\nWorking at ICF\nICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.Together, our employees are empowered to share theirexpertiseand collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy.\nWe will consider for employment qualified applicants with arrest and conviction records.\nReasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals withsincerely heldreligious beliefs, in all phases of the application and employment process. To requestan accommodation,please email  and we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentrequiredto provide needed reasonable accommodations.\nRead more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) CoverageAct.\nCandidate AI Usage Policy\nAt ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process.\nHowever, we understand that some candidates may require accommodationthat involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance at . Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed.\nPay Range - There are multiple factors that are considered in determining final payfor a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.\nThe pay range for this position based on full-time employment is:\n$108,006.00 - $183,610.00Reston, VA (VA30)","description_format":"text","description_chars":6175,"description_truncated":false,"requirements":{"experience_years_min":4,"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":["Energy Efficiency","Digital Government","Management Consulting"],"lifecycle":[{"event":"open","at":"2026-10-05T20:21:24Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":21,"reasons":["conf:3","velocity","win:early","comp:brand"],"computed_at":"2026-10-06T05:45:30Z"},"pay":{"stated_usd_annual":183610,"is_top_pay":true},"html_url":"https://alion.io/job/icf-data-engineer","json_url":"https://alion.io/job/icf-data-engineer.json","meta":{"generated_at":"2026-10-06T23:28:12Z","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","counted_by":"address","units_charged":1,"used_today":4856,"day_limit":5000,"remaining_today":144,"minute_limit":60,"resets_at":"2026-10-07T00:00:00Z"}},"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":2632},"rest":"https://alion.io/mcp/rest/get_company?id=2632"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ficf-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%2Ficf-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%2Ficf-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/icf-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ficf-data-engineer"}]}