{"id":1207848,"url":"https://alion.io/job/derextechnologies-data-engineer","title":"Data Engineer","company":{"id":6950,"name":"Derextechnologies","domain":"derextechnologies.com","url":"https://alion.io/company/derextechnologies","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Washington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":107000,"max_usd":230000,"period":"year","method":"role_country_seniority_unknown","sample_n":1667},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS Glue","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Git","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-24T14:58:58Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-25T17:56:51Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Derex Technologies Inc specializes in providing IT consulting, staffing solutions and software services. Globally headquartered in Harrison New Jersey since 1996 Derex delivers the highest quality technology professionals and an array of customized IT talent solutions designed to improve productivity and drive results to global clients throughout North America.\nWith over two decades of unparalleled experience, Derex provides supports to its clientele, across such industries as Systems Integration, Banking and Finance, Telecommunications, Pharmaceutical and Life Sciences, Energy, Healthcare, Technology, Transportation, and local and federal Government agencies.\n Position Title: Data Engineer\nReports to: Engineering Lead\nFLSA Classification: Exempt\nLocation: DMV area, hybrid - primarily remote with in-person client engagement as needed\nTravel Requirements: Occasional travel within the DC-metro area for customer engagements and team on-sites\nBackground Check Required: Yes\nPosition Summary\nThe Data Engineer builds the pipelines and models that turn source system data into analytics customers act on, and builds the reporting layer that sits on top of them. The role spans ingestion and transformation through semantic modeling, Power BI report and dashboard development, and the performance and governance work that keeps the result trustworthy. The engineer works directly with business stakeholders to understand the question behind the request, and owns the answer from source system to dashboard. The role complements CloudAI's platform-focused data engineering work by owning the analytics and reporting layer end to end.\nKey Responsibilities\nBuild and operate the pipelines behind the analytics.\nBuild ingestion and transformation pipelines from operational systems, APIs, and files, including incremental loading, historization, and schema change handling.\nDesign analytics data models, including dimensional models, conformed dimensions, slowly changing dimensions, and aggregate strategy for query performance.\nImplement data quality and reconciliation controls, with alerting that surfaces a problem before a report does.\nOrchestrate and monitor scheduled workloads with dependency management, retry behavior, and failure handling.\nBuild the analytics and reporting layer.\nBuild Power BI semantic models, including DAX measures, relationships, row-level security, incremental refresh, and performance tuning.\nDevelop reports and dashboards that answer the question the stakeholder actually asked, with attention to clarity, accessibility, and load time.\nAdminister the Power BI environment, including workspaces, deployment pipelines, gateways, capacity, and usage monitoring.\nDefine and document metric definitions so that a number means the same thing everywhere it appears.\nWork with the people who use the data.\nElicit reporting and analytics requirements from business stakeholders and translate them into models, measures, and visuals.\nTrain and support report consumers and self-service users, and set the guardrails that keep self-service reliable.\nDocument datasets, models, metric definitions, and lineage.\nContribute to CloudAI's data practice.\nContribute to solution design, estimation, and technical approach during presales and project planning.\nImprove shared standards, reusable components, and report templates as new needs surface from engagement work.\nCompetencies & Skills\nTechnical and interpersonal competencies required to succeed in this role, spanning both hard skills (tools, technologies, methodologies) and soft skills (communication, problem-solving, stakeholder management).\nCore Competencies\nCustomer and Business Focus: Starts with the customer, works efficiently, and delivers lasting value through continuous improvement\nOwnership and Delivery: Takes ownership, honors commitments, moves with urgency, and delivers their best work\nCuriosity and Growth: Goes deep to understand the 'why,' stays open to new ideas, and challenges the status quo\nCandor and Collaboration: Leads with transparency, welcomes thoughtful disagreement, and chooses the path based on the merit of ideas\nEmpathy and Respect: Listens to understand, respects others' perspectives, and acts as a team player\nTechnical Competencies\nSQL at an expert level, including query optimization, window functions, and performance tuning against large datasets.\nPower BI at depth, including semantic modeling, DAX, Power Query and M, row-level security, incremental refresh, deployment pipelines, and capacity administration.\nPython for data engineering, including pipeline development, API integration, and transformation logic.\nData modeling for analytics, including dimensional modeling, slowly changing dimensions, and semantic layer design.\nCloud data platforms and ELT tooling, such as Azure Data Factory, Synapse, Databricks, Snowflake, or AWS Glue.\nData quality, governance, and lineage practice, including access control and sensitive data handling.\nEngineering practice, including Git, CI/CD, testing, and documentation, applied to both pipeline and report assets.\nDelivery Competencies\nOwnership: Remains with a problem until it is resolved rather than escalating to transfer it.\nIndependent judgment: Operates without supervision and determines what the work requires.\nCuriosity: Seeks to understand the customer's business, the technical solution, and the people involved rather than accepting information as given.\nRelationship building: Establishes trust with customers and delivery teams deliberately.\nAdaptability: Adjusts approach to the customer, project, and team rather than applying a fixed method.\nClarity: Presents a number so that a non-technical stakeholder can act on it without a translator.\nEducation & Experience Requirements\nBachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.\nEight (8) years of professional data engineering or analytics engineering experience.\nDemonstrated experience delivering an end-to-end analytics solution from source ingestion through production reporting.\nSignificant Power BI experience, including semantic model design, DAX, and performance tuning, rather than report authoring alone.\nDemonstrated experience working directly with business stakeholders to define reporting requirements and metric definitions.\nExperience supporting regulatory, compliance, or operational reporting where the numbers are scrutinized preferred.\nExperience with public sector, SLED (state, local, and education), or higher-education clients preferred, not required.\nMust physically reside in the United States and be authorized to work in the United States. U.S. citizenship or permanent residency is not required.\nCertifications\nNo certification required for this role.\nMicrosoft certification preferred (e.g., Power BI Data Analyst Associate, Azure Data Engineer Associate, or Fabric Analytics Engineer Associate).\nRegards,\nManoj Goud\nDerex Technologies INC\nContact : 973-834-5005 Ext 206\n All your information will be kept confidential according to EEO guidelines.","description_format":"text","description_chars":7099,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Information Technology"],"lifecycle":[{"event":"open","at":"2026-09-25T01:20:44Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":7,"reasons":["conf:4","velocity","win:early"],"computed_at":"2026-09-25T05:45:01Z"},"pay":null,"html_url":"https://alion.io/job/derextechnologies-data-engineer","json_url":"https://alion.io/job/derextechnologies-data-engineer.json","meta":{"generated_at":"2026-09-26T03:09:59Z","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":3359,"day_limit":5000,"remaining_today":1641,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}