{"id":1980200,"url":"https://alion.io/job/accenture-federal-services-data-engineer-3","title":"Data Engineer","company":{"id":668669,"name":"Accenture Federal Services","domain":"accenturefederal.com","url":"https://alion.io/company/accenturefederal","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":81,"open_postings":161,"ghost_share":0,"stale_share":0.559,"repost_share":0,"time_to_fill_p50_days":61,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Washington, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":107000,"max_usd":197000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":78},"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"IAM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Ansible","optional":true},{"name":"Apache Kafka","optional":true},{"name":"CIS Benchmarks","optional":true},{"name":"Crowdstrike","optional":true},{"name":"dbt","optional":true},{"name":"Dynatrace","optional":true},{"name":"Feature Store","optional":true},{"name":"FedRAMP","optional":true},{"name":"GitHub","optional":true},{"name":"Great Expectations","optional":true},{"name":"HIPAA","optional":true},{"name":"Jira","optional":true},{"name":"Looker","optional":true},{"name":"Nessus","optional":true},{"name":"NIST 800-53","optional":true},{"name":"ServiceNow","optional":true},{"name":"Splunk","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-10-06T22:29:15Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-14T02:18:45Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. \nJoin Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. \nJoin us to drive positive, lasting change that moves missions and the government forward!\nKey Responsibilities\nCore Data & AI Pipeline Development\nBuild, maintain, and optimize batch and streaming data pipelines to support analytics and AI workloads.\nIngest structured, semi structured, and unstructured datasets from APIs, databases, SaaS systems, streaming feeds, and file based sources.\nTransform, clean, enrich, and standardize data using Dataflow (Apache Beam), Dataproc (Spark), BigQuery SQL, and Python.\nDeliver high quality curated datasets into BigQuery for analytics, reporting, and machine learning training.\nBuild and maintain ML ready feature pipelines supporting Data Scientists and ML Engineers.\nData Quality, Governance & Operations\nImplement data quality checks, schema validation, and automated testing within pipelines.\nMonitor pipeline health and apply observability best practices using Cloud Monitoring and Cloud Logging.\nApply governance, security, and compliance standards including IAM roles, encryption, data masking, and auditing.\nEnforce schema evolution policies, metadata management, and lineage tracking using Dataplex/Data Catalog.\nMaintain documentation for datasets, transformations, pipeline logic, and operational procedures.\nEngineering & Collaboration\nWrite efficient, maintainable Python, SQL, Beam, and Spark code.\nManage ingestion flows using Pub/Sub, GCS, APIs, Datastream, and database connectors.\nOptimize BigQuery tables, partitions, clustering, materialized views, and query performance.\nImplement and maintain DAGs with Cloud Composer (Airflow).\nTroubleshoot pipeline failures, latency issues, and data quality gaps.\nParticipate in code reviews, architectural discussions, and agile sprint ceremonies.\nCollaborate with Data Architects, Data Scientists, ML Engineers, and business stakeholders.\nDevelop and maintain Infrastructure as Code using Terraform and CI/CD deployment pipelines.\nRequired Qualifications\nMust be a U.S. Citizen with ability to obtain a Public Trust clearance.\nBachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or related technical field.\n3-6+ years of hands on experience in data engineering or a similar technical field.\nMinimum three years of experience leading technical teams to achieve outcomes.\nExperience developing and implementing technical standards for cloud and on prem environments.\nProven experience building production data pipelines on cloud platforms, preferably GCP.\nHands on experience with BigQuery, GCS, Dataflow (Apache Beam), Dataproc (Spark), and Pub/Sub.\nExperience preparing ML ready datasets for model training.\nStrong background in SQL, Python, distributed data processing, and data modeling.\nExperience with governance, security, and compliance frameworks including IAM, encryption, data masking, and auditing.\nFamiliarity with the following tool categories (VAEC Operational Tools):Google Cloud Security tools\nGoogle Cloud Monitoring & Logging tools\nGoogle Cloud Networking\nGoogle Storage services\n\nPreferred Experience\nMaster’s degree in a technical field.\nPrevious experience in Federal Government environments.\nKnowledge of regulated environments such as FedRAMP, HIPAA, PCI, NIST 800 53, and CIS benchmarks.\nSecurity certifications such as CISSP or CCSP.\nExperience with Vertex AI workflows or comparable ML platforms.\nFamiliarity with Dataplex, data governance frameworks, and metadata management.\nExperience with Apache Kafka or other streaming technologies.\nExperience with Datastream for change data capture (CDC).\nKnowledge of regulated industries such as public sector, healthcare, or finance.\nStrong communication skills and the ability to convey complex data concepts clearly.\nExperience with BI tools such as Looker or Looker Studio.\nExperience with third party tools such as Armis, BigFix, CrowdStrike, Tenable Nessus, Turbot, ServiceNow, Dynatrace, Splunk, and more.\nHands on experience with DevOps tools and methodologies, including Ansible, GitHub, Jira, Terraform, CI/CD, and cloud migration tools.\nKnowledge in ML enablement, feature stores, and ML pipeline patterns.\nExperience with data quality and testing frameworks such as Great Expectations or dbt tests.\nAs required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.\nThe pay range for the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is:\n$103,200—$196,400 USD\nWhat We Believe\nAs a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on.\nEqual Employment Opportunity Statement\nWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of theAccenture Federal Services Equal Opportunity Policy Statement.\nAccenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.\nRequesting An Accommodation \nAccenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.\nIf you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.\nOther Employment Statements \nApplicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.\nCandidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.\nJob candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.\nThe Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.\nCalifornia requires additional notifications for applicants and employees. 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