{"id":1263848,"url":"https://alion.io/job/gswell-data-engineer-legacy-systems-ai-workflows","title":"Data Engineer - Legacy Systems, AI Workflows","company":{"id":2913152,"name":"Groundswell","domain":"gswell.com","url":"https://alion.io/company/gswell-com","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Washington, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":89886,"max":175444,"currency":"USD","period":"year","gross":null,"usd_annual":175444},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Java","optional":false},{"name":"Jupyter Notebook","optional":false},{"name":"LLM","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SOAP","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-25T21:39:05Z","employer_posted_date":null,"last_verified_at":"2026-09-25T21:39:05Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"Job Description:\n Design, develop, and operate batch and streaming ETL/ELT pipelines that ingest data from multiple structured and semi-structured sources into secure cloud data platforms\n Onboard legacy data sources by reviewing schemas, mappings, interfaces, validation rules, ownership, and operational support procedures\n Build automated data-quality checks for completeness, accuracy, consistency, timeliness, and referential integrity, with actionable monitoring and alerting\n Automate deployments and pipeline operations using SOAP APIs, workflow orchestration, and environment-specific configurations\n Troubleshoot failures across distributed data systems using logs, metrics, lineage, and operational signals; communicate root causes and recovery plans clearly\n Collaborate with software engineers, cloud engineers, data scientists, security teams, architects, and customer stakeholders to translate mission needs into measurable data products\nRequirements:\n Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a related technical field\n 5+ years of professional data engineering experience, including production pipeline development and operations\n Proficiency in Python, Java, R, or other programming language used for data engineering\n Experience with legacy systems that utilize SOAP APIs for data interaction\n Experience implementing data-quality frameworks, validation processes, monitoring, and alerting for production pipelines\n Working knowledge of data security, access controls, encryption, auditability, and governance in a regulated, restricted, or compliance-oriented environment\n Experience working with APIs (SOAP/REST) and structured data formats such as JSON, XML, CSV, and Parquet\n Ability to document technical decisions and collaborate with multidisciplinary teams and customer stakeholders\n Must be a U.S. Citizen per contract requirements\n Must be able to obtain and maintain a Public Trust Clearance in accordance with contract requirements\n Preferred: experience building preprocessing, chunking, filtering, metadata-enrichment, or evaluation pipelines for LLM and other AI/ML workflows\n Preferred: experience operating data platforms with segmented networks, limited connectivity, strict change control, or formal authorization requirements\n Preferred: strong SQL expertise, including query optimization, data modeling, joins, window functions, and analysis of large datasets\n Preferred: experience with Jupyter Notebook or equivalent tools for analyzing data\n Preferred: experience with Python libraries such as numpy and pandas\n Preferred: hands-on experience with at least one major cloud provider; AWS strongly preferred\n Preferred: C3.ai experience\n Active Public Trust Clearance preferred\n Preference given to candidates local to the Washington, DC metro area\n AWS Data Engineer Certification, Databricks, cloud data engineering, or other relevant professional certification preferred\nBenefits:\n Comprehensive medical, dental, and vision plans\n Flexible Spending Account\n 4% 401K Match (immediate vesting)\n Paid Time Off\n Tuition reimbursement, certification programs, and professional development\n Flexible work schedule\n On-site gym and childcare option","description_format":"text","description_chars":3233,"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":true,"languages":[]},"benefits":["401k plan","Flexible schedule","Professional development"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence"],"lifecycle":[{"event":"open","at":"2026-09-25T21:39:05Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":5,"expected_fill_days":41,"reasons":["seen:5","velocity","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":175444,"is_top_pay":true},"html_url":"https://alion.io/job/gswell-data-engineer-legacy-systems-ai-workflows","json_url":"https://alion.io/job/gswell-data-engineer-legacy-systems-ai-workflows.json","meta":{"generated_at":"2026-10-01T06:10:29Z","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":"search","counted_by":"address","units_charged":0,"used_today":0,"day_limit":null,"remaining_today":null,"minute_limit":null,"resets_at":"2026-10-02T00:00:00Z"}}}