Senior Data Engineer at Insomniac Design | Torre

Senior Data Engineer

You'll engineer groundbreaking data solutions for global impact.
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Full-time

Legal agreement: Employment

Compensation
USD115k - 150k/year
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Remote (for United States residents)
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Posted 5 months ago

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Job DescriptionInsomniac 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. We thrive on AI to free our teams from routine tasks so they can focus on the aspects of our functions that are most valuable. 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.Technical Leadership & StrategyArchitect 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 & InfrastructureDesign and implement scalable data architecture that ensures high availability, security, and performance.Define best practices for data modeling, storage, retrieval, and governance.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 DevelopmentArchitect and develop end-to-end ETL/ELT pipelines for structured and unstructured data ingestion, processing, and transformation.Automate and optimize data workflows using tools like Apache Spark, Kafka, Airflow, and dbt.Monitor, troubleshoot, and optimize data pipeline performance.Data Governance, Security & ComplianceImplement 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.Develop frameworks for data quality validation, anomaly detection, and integrity checks.Business & Stakeholder EngagementCollaborate with stakeholders (clients, PMs) to translate business needs into technical specifications and scalable architectures.Develop interactive dashboards and reporting solutions to provide actionable insights.Innovation & MentorshipLead technical discussions, workshops, and knowledge-sharing sessions within the team.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 & Experience7+ 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 SkillsProven 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.Closing DescriptionInsomniac Design offers a competitive salary and benefits package including health and life insurance as well as 401k contribution. Salary range: $115,000 - $150,000.Applicant EligibilityPlease 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
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