Senior Data Engineer
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Before you apply
Salary$115k – $150k
LocationWashington, DC
Work modehybrid
Typefull-time
SenioritySenior
Experience7+ yrs
DepartmentTechnology
Company size8+ people
PostedJul 6, 2026 · 4mo ago
Verified live1d ago
May no longer be actively hiring
Posted by the company on Jul 6, 2026100% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
7+ years of experience in data engineering with a proven track record of building scalable data solutions
Expertise in SQL and relational database management systems (MySQL, PostgreSQL, Oracle)
Proficiency in Python (or similar languages) for data processing and automation
Deep understanding of cloud platforms (AWS, GCP, Azure) and cloud-native data services
Hands-on experience with big data tools: Apache Spark, Kafka, Airflow, dbt, Snowflake, Databricks
Expertise in data modeling
Strong knowledge of data security, governance, and compliance frameworks
Proven track record of leading data projects, including migrations, warehousing, and real-time analytics
Ability to lead cross-functional teams and manage client expectations
Strong problem-solving skills for debugging distributed systems and resolving data anomalies
Experience with Agile/Scrum methodologies, including tools like Jira, Git
Excellent communication and stakeholder management skills
Certifications in cloud/data technologies (e.g., AWS Certified Data Analytics, Google Cloud Data Engineer)
Experience with ML pipelines (e.g., feature stores, model deployment)
Contributions to open-source data projects
Eligible to work in the US without visa sponsorship
Skills
SQL
MySQL
PostgreSQL
Oracle
Python
AWS
GCP
Azure
Redshift
Glue
S3
Synapse
Data Factory
BigQuery
Dataflow
Apache Spark
Kafka
Airflow
dbt
Snowflake
Databricks
Jira
Git
Benefits
Health insurance
Life insurance
401(k)
About the company
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.
At 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.
About the role
As 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.
Technical Leadership & Strategy:
•
Architect and implement enterprise-grade data platforms, including data lakes, warehouses, and real-time pipelines.
•
Define and enforce data engineering standards, including ETL/ELT frameworks, data modeling, and quality controls.
•
Lead performance optimization of databases, queries, and pipelines (e.g., partitioning, indexing, cost-efficient cloud solutions).
•
Stay updated with emerging trends, evaluating and integrating new technologies.
Data Architecture & Infrastructure:
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Design and implement scalable data architecture that ensures high availability, security, and performance.
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Define best practices for data modeling, storage, retrieval, and governance.
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Optimize database structures, schemas, indexing, and partitioning for efficient query performance.
•
Implement CI/CD for data pipelines and automate infrastructure using Infrastructure-as-Code (IaC) tools.
Data Pipelines & ETL Development:
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Architect and develop end-to-end ETL/ELT pipelines for structured and unstructured data ingestion, processing, and transformation.
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Automate and optimize data workflows using tools like Apache Spark, Kafka, Airflow, and dbt.
•
Monitor, troubleshoot, and optimize data pipeline performance.
Data Governance, Security & Compliance:
•
Implement data governance policies, including metadata management, lineage tracking, and role-based access control (RBAC).
•
Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) and enforce security best practices.
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Develop frameworks for data quality validation, anomaly detection, and integrity checks.
Business & Stakeholder Engagement:
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Collaborate with stakeholders (clients, PMs) to translate business needs into technical specifications and scalable architectures.
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Develop interactive dashboards and reporting solutions to provide actionable insights.
Innovation & Mentorship:
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Lead technical discussions, workshops, and knowledge-sharing sessions within the team.
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Mentor junior engineers, conduct code reviews, and set best practices.
•
Drive automation of data workflows, including CI/CD for pipelines and Infrastructure-as-Code (IaC) solutions.
Technical Skills & Experience:
•
7+ years of experience in data engineering with a proven track record of building scalable data solutions.
•
Expertise in SQL and relational database management systems (MySQL, PostgreSQL, Oracle).
•
Proficiency in Python (or similar languages) for data processing and automation.
•
Deep understanding of cloud platforms (AWS, GCP, Azure) and cloud-native data services:AWS (Redshift, Glue, S3)Azure (Synapse, Data Factory)GCP (BigQuery, Dataflow)
•
Hands-on experience with big data tools:Apache Spark, Kafka, Airflow, dbt, Snowflake, Databricks
•
Expertise in data modeling.
•
Strong knowledge of data security, governance, and compliance frameworks.
Leadership & Soft Skills:
•
Proven track record of leading data projects, including migrations, warehousing, and real-time analytics.
•
Ability to lead cross-functional teams and manage client expectations.
•
Strong problem-solving skills for debugging distributed systems and resolving data anomalies.
•
Experience with Agile/Scrum methodologies, including tools like Jira, Git.
•
Excellent communication and stakeholder management skills.
Nice-to-Have (Bonus Skills):
•
Certifications in cloud/data technologies (e.g., AWS Certified Data Analytics, Google Cloud Data Engineer).
•
Experience with ML pipelines (e.g., feature stores, model deployment).
•
Contributions to open-source data projects.
Benefits
Insomniac Design offers a competitive salary and benefits package including health and life insurance as well as 401k contribution. Salary range: $115,000 - $150,000.
Legal
Applicant Eligibility: Please note, candidates who are eligible to work in the US without visa sponsorship are eligible to apply. We are not accepting applicants from recruiters or staffing agencies