{"id":2000893,"url":"https://alion.io/job/neumo-senior-data-engineer-remote","title":"Senior Data Engineer (Remote)","company":{"id":2482496,"name":"Neumo","domain":"neumo.com","url":"https://alion.io/company/neumo","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"ADP","truth_index":{"grade":"B","score":75,"open_postings":11,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","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":92000,"max_usd":203000,"period":"year","method":"global_role_seniority_cell","sample_n":1839},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Alteryx","optional":false},{"name":"Amazon Aurora","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"MariaDB","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"SQLAlchemy","optional":false},{"name":"SSIS","optional":false}],"status":"closed","first_seen_at":"2026-09-01T21:39:00Z","employer_posted_date":"2026-09-01","last_verified_at":"2026-10-08T23:02:21Z","board_verified":false,"closed_at":"2026-10-08T23:02:21Z","days_open":37,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":37},"description":"Job Summary:\nOur Revenue Compliance platforms generate a large and growing volume of tax, licensing, and compliance data. Today, much of the work of moving, reconciling, and reporting on that data depends on legacy tooling and manual steps.\nThe Data Engineer designs and builds the pipelines and data models that our reporting, analytics, and emerging AI initiatives depend on, and retires the manual and legacy processes those functions rely on today. The role also supports the data side of our migration to Amazon Aurora, ensuring that downstream reporting and extracts move cleanly as source systems change. This is a foundational position with wide scope and real constraints, suited to an engineer who wants to define how a data platform gets built rather than maintain an existing design.\nDuties and Responsibilities:\nDesign, implement, and operate ETL and ELT pipelines that move data from transactional systems into analytical and reporting environments on schedule, with monitoring and alerting sufficient to establish confidence in the results.\nReplace legacy and manual data processes with maintainable, version-controlled, tested pipelines, reducing the number of steps that depend on an individual remembering a procedure.\nDesign warehouse schemas and data models that make reporting consistent across products rather than requiring each report to define its own logic.\nSupport the Amazon Aurora migration by ensuring downstream pipelines, extracts, and reporting move cleanly as source systems migrate, and by validating data integrity through cutover.\nBuild validation, reconciliation, and alerting into pipelines so that data quality issues are identified before a customer or auditor encounters them.\nPartner with architecture and AI initiatives to prepare clean, well-structured, and well-documented datasets that enable downstream analytical and machine learning work.\nWork with application engineers, the database administrator, site reliability, and business stakeholders to establish what the data means, not solely where it resides.\nMaintain clear documentation of data sources, lineage, and business definitions.\nTranslate ambiguous business questions into concrete data requirements, and exercise independent judgment in selecting the appropriate technical approach.\nAt the senior level, mentor other contributors and raise the overall data engineering practice of the team.\nPerform other duties as assigned.\nEducation and Experience:\nBachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field; equivalent professional experience will be considered in lieu of a degree.\nFour to eight years of data engineering experience, including production ownership of pipelines the candidate personally designed and built.\nDemonstrated experience designing and operating ETL and ELT pipelines, including orchestration, scheduling, error handling, and retry logic.\nHands-on experience with a cloud data platform. AWS preferred; Azure or GCP considered.\nData warehouse and dimensional modeling experience sufficient to defend schema design decisions.\nExperience applying version control and CI/CD practices to data work, not solely to application code.\nExperience with AWS-native data tooling such as Glue, DMS, S3, Redshift, Athena, Lambda, or Step Functions.\nExperience with pipeline orchestration frameworks such as Airflow, Dagster, or Prefect, and with transformation tooling such as dbt.\nExperience migrating reporting and analytics workloads alongside a database platform migration.\nExperience replacing legacy or low-code data tooling such as Alteryx or SSIS with engineered pipelines.\nExperience preparing data foundations for machine learning or AI use cases.\nBackground in tax, financial services, government technology, or another regulated, audit-sensitive domain.\nExperience with data governance, lineage, and cataloging practices.\nKnowledge, Skills and Abilities:\nAdvanced SQL, including complex joins, window functions, and query optimization, together with the judgment to recognize when a query is the wrong tool.\nStrong Python for data engineering, using pandas, SQLAlchemy, or equivalent libraries, and general scripting proficiency.\nWorking knowledge of relational database platforms such as MySQL, MariaDB, SQL Server, or PostgreSQL.\nKnowledge of dimensional modeling and data warehouse design principles.\nAbility to translate ambiguous business questions into concrete, testable data requirements.\nAbility to design and defend technical approaches independently, and to make architectural decisions with limited supervision.\nClear written communication, including the ability to produce documentation that others can rely on without follow-up.\nAbility to collaborate effectively with engineering, reliability, and business stakeholders in a fully remote environment.\nKnowledge of data quality, reconciliation, and observability practices for production pipelines.\nAbility to mentor other engineers and establish shared standards across a team.\nWork Environment:\nOffice setting with a moderate noise level.\nThe employee will work at an individual workstation, using a telephone and computer.\nPhysical Demands:\nMust be able to remain seated for extended periods.\nRegular use of a computer and other office machinery, such as printers and copy machines.\nOccasional movement around the office.\nFrequent communication via telephone.\nNeumo Summary:\nWith the backing of four decades of public sector expertise and corporate capability, Neumo has successfully supported government services. Neumo was honored and recognized for four (4) consecutive years as a GovTech 100 Company representing the top 100 companies focused on making a difference in and selling to state and local government agencies across the United States.\nNeumo is committed to helping communities thrive and brings a wealth of experience combined with innovation. Today, Neumo offers more administrative and financial support to government officials than any other organization. And with a responsive, client-focused approach, we foster partnerships that give our customers the certainty they need to accomplish more.\nNeumo offers a competitive benefits and compensation package and are looking for team members who will thrive in our dynamic environment.\nNeumo is an Equal Opportunity Employer. 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