{"id":254489,"url":"https://alion.io/job/insomniac-design-senior-data-engineer","title":"Senior Data Engineer","company":{"id":449865,"name":"Insomniac Design","domain":"insomniacdesign.com","url":"https://alion.io/company/insomniac-design","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Washington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":113000,"max_usd":214000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1343},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Jira","optional":false},{"name":"MySQL","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Feature Store","optional":true}],"status":"live","first_seen_at":"2026-07-06T05:24:24Z","employer_posted_date":"2026-07-06","last_verified_at":"2026-11-01T11:32:13Z","board_verified":true,"closed_at":null,"days_open":118,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":118},"description":"Insomniac Design is a global digital agency headquartered in Washington D.C., with offices in London, Bucharest and Chisinau. We’re an agile, determined and innovative team organized by functional areas of expertise - Creative, Technology, Strategy, and Management. We specialize in human-centered design with deep focus on design thinking and digital transformation.\nAt Insomniac, we leverage AI to free our teams from routine tasks so they can focus on the aspects of our functions that are most valuable. We thrive on creative problem-solving, collaboration, and innovation. By thoughtfully integrating AI into our workflows, we’re not only improving productivity but also ensuring our people have the tools to do their best work. This empowers us to build smarter solutions and deliver stronger results for our clients.\nAs a Senior Data Engineer, you will architect, build, and optimize scalable data platforms that empower our clients with unified, actionable insights. You will lead the design of robust data pipelines, enforce best practices in data governance and security, and mentor junior engineers. Your expertise will bridge technical execution and strategic vision, ensuring high-performance, secure, and scalable data solutions that drive business impact.\nTechnical Leadership & Strategy:\nArchitect and implement enterprise-grade data platforms, including data lakes, warehouses, and real-time pipelines.\nDefine and enforce data engineering standards, including ETL/ELT frameworks, data modeling, and quality controls.\nLead performance optimization of databases, queries, and pipelines (e.g., partitioning, indexing, cost-efficient cloud solutions).\nStay updated with emerging trends, evaluating and integrating new technologies.\nData Architecture & Infrastructure:\nDesign and implement scalable data architecture that ensures high availability, security, and performance.\nDefine best practices for data modeling, storage, retrieval, and governance.\nOptimize database structures, schemas, indexing, and partitioning for efficient query performance.\nImplement CI/CD for data pipelines and automate infrastructure using Infrastructure-as-Code (IaC) tools.\nData Pipelines & ETL Development:\nArchitect and develop end-to-end ETL/ELT pipelines for structured and unstructured data ingestion, processing, and transformation.\nAutomate and optimize data workflows using tools like Apache Spark, Kafka, Airflow, and dbt.\nMonitor, troubleshoot, and optimize data pipeline performance.\nData Governance, Security & Compliance:\nImplement data governance policies, including metadata management, lineage tracking, and role-based access control (RBAC).\nEnsure compliance with data privacy regulations (e.g., GDPR, CCPA) and enforce security best practices.\nDevelop frameworks for data quality validation, anomaly detection, and integrity checks.\nBusiness & Stakeholder Engagement:\nCollaborate with stakeholders (clients, PMs) to translate business needs into technical specifications and scalable architectures.\nDevelop interactive dashboards and reporting solutions to provide actionable insights.\nInnovation & Mentorship:\nLead technical discussions, workshops, and knowledge-sharing sessions within the team.\nMentor junior engineers, conduct code reviews, and set best practices.\nDrive automation of data workflows, including CI/CD for pipelines and Infrastructure-as-Code (IaC) solutions.\nTechnical Skills & Experience:\n7+ years of experience in data engineering with a proven track record of building scalable data solutions.\nExpertise in SQL and relational database management systems (MySQL, PostgreSQL, Oracle).\nProficiency in Python (or similar languages) for data processing and automation.\nDeep understanding of cloud platforms (AWS, GCP, Azure) and cloud-native data services:AWS (Redshift, Glue, S3)Azure (Synapse, Data Factory)GCP (BigQuery, Dataflow)\nHands-on experience with big data tools:Apache Spark, Kafka, Airflow, dbt, Snowflake, Databricks\nExpertise in data modeling.\nStrong knowledge of data security, governance, and compliance frameworks.\nLeadership & Soft Skills:\nProven track record of leading data projects, including migrations, warehousing, and real-time analytics.\nAbility to lead cross-functional teams and manage client expectations.\nStrong problem-solving skills for debugging distributed systems and resolving data anomalies.\nExperience with Agile/Scrum methodologies, including tools like Jira, Git.\nExcellent communication and stakeholder management skills.\nNice-to-Have (Bonus Skills):\nCertifications in cloud/data technologies (e.g., AWS Certified Data Analytics, Google Cloud Data Engineer).\nExperience with ML pipelines (e.g., feature stores, model deployment).\nContributions to open-source data projects.","description_format":"text","description_chars":4746,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United 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