{"id":1431366,"url":"https://alion.io/job/abacus-technology-data-engineer","title":"Data Engineer","company":{"id":456034,"name":"Abacus Technology","domain":"abacustechnology.com","url":"https://alion.io/company/abacus-technology","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":92,"open_postings":6,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-09-29T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":62000,"max_usd":154000,"period":"year","method":"global_role_seniority_cell","sample_n":345},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"MS SQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":".NET","optional":true},{"name":"Azure DevOps","optional":true},{"name":"C#","optional":true},{"name":"HIPAA","optional":true},{"name":"Power BI","optional":true},{"name":"SIEM","optional":true},{"name":"SOC 2","optional":true}],"status":"live","first_seen_at":"2026-09-28T22:14:57Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-09-29T19:03:45Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Overview:\nThe Data Engineer is responsible for developing, maintaining, and supporting data pipelines using Python and SQL Server (T-SQL), while assisting with data integration from internal and external systems within a modern Azure-based data platform. The role supports critical data operations in regulated environments and provides opportunities for hands-on learning and growth under the guidance of senior data engineers. \nJob Description:\nDevelop and maintain ETL pipelines using Python and SQL Server for data ingestion, transformation, and integration from various data sources, including structured files and RESTful APIs.\nWrite, test, and debug Python code for data processing, automation, and basic integrations following established standards and best practices.\nCreate and maintain T-SQL queries, views, and stored procedures to support business logic and reporting requirements.\nAssist in building and operating data workflows using Azure Data Factory, Azure SQL, and Azure Blob Storage.\nSupport the monitoring of data pipelines and help troubleshoot data quality issues, pipeline failures, and performance problems.\nFollow defined data quality, security, and compliance procedures in regulated environments such as healthcare and financial services.\nCollaborate with data analysts, software engineers, and DevOps teams to understand data requirements and upstream systems.\nParticipate in code reviews, implement feedback, and continuously improve coding and engineering practices.\nCreate and maintain clear documentation for data pipelines, logic, and operational processes.\nQualifications and Experience: \nEducation\nBachelor’s Degree - Preferred \nExperience\n1-4 years of professional experience in Data Engineering, Software Engineering, or a related technical role - Required\nStrong hands-on proficiency in Python, including writing functions, handling errors, and debugging code - Required\nExperience working with relational databases, preferably SQL Server - Required\nStrong working knowledge of SQL, including joins, aggregations, subqueries, and basic performance considerations - Required\nExposure to integrating or consuming data from RESTful APIs or external data sources - Required\nFamiliarity with Git or similar version control systems - Required\nStrong analytical and problem-solving skills with the ability to learn quickly - Required\nPreferred Experience\nExperience with additional Azure services such as Azure Synapse, Azure DevOps, and Azure Functions\nUnderstanding of data modeling and warehousing concepts\nExposure to cybersecurity data, SIEM tools, or SOC operations\nKnowledge of .NET Framework and C#-based APIs, particularly in data consumption contexts\nBackground in MSP/MSSP environments or consulting\nFamiliarity with Power BI or other data visualization tools\nKnowledge, Skills, and Abilities: \n\nExposure to Azure data services such as Azure Data Factory, Azure SQL, or Blob Storage.\nBasic understanding of ETL concepts, data validation, and pipeline monitoring.\nFamiliarity with data modeling fundamentals, including tables, keys, and relationships.\nAwareness of data security, privacy, and compliance standards such as HIPAA and SOC2.\nExperience with Power BI or other data visualization tools.\nBasic understanding of application systems or APIs built using .NET or similar frameworks.\nAbility to design and support scalable ETL pipelines using Python and SQL Server for data ingestion, transformation, and integration from diverse sources.\nAbility to develop and optimize T-SQL stored procedures to support business logic and reporting needs.\nAbility to support secure and efficient data workflows using Azure Data Factory, Azure SQL, and Azure Functions.\nAbility to help ensure data quality, lineage, and compliance requirements are maintained.\nAbility to collaborate with software engineering, data analytics, security, and DevOps teams.\nAbility to monitor and troubleshoot pipeline failures and data discrepancies.\nAbility to participate in code reviews and continuously improve engineering practices.\nAttributes that will drive success:\nAbility to work effectively in a collaborative, fast-paced environment.\nGood written and verbal communication skills.","description_format":"text","description_chars":4204,"description_truncated":false,"requirements":{"experience_years_min":1,"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":["Managed Security","Managed IT Services (MSP)"],"lifecycle":[{"event":"open","at":"2026-09-29T01:31:46Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":49,"reasons":["conf:0","velocity","win:early","comp:junior"],"computed_at":"2026-09-29T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/abacus-technology-data-engineer","json_url":"https://alion.io/job/abacus-technology-data-engineer.json","meta":{"generated_at":"2026-09-30T01:37:29Z","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":"crawler","counted_by":"address","units_charged":1,"used_today":1220,"day_limit":5000,"remaining_today":3780,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}