3 results for Databricks Data Engineer in Gaithersburg, MD

Data Engineer

Washington, DC
remote
Temporary
40 - 59.5 USD / Hourly
Data Modeling and Analysis<ul><li>Design data models and optimize performance: Creating the structure of data relationships ensuring efficient data retrieval and calculations.</li><li>Create calculated columns and measures: Using DAX to calculate derived values and aggregate metrics.</li><li>Perform exploratory data analysis (EDA): Using BI tools to explore data, identify trends, and patterns.</li><li>Apply advanced data analysis techniques (e.g., statistical analysis, time series analysis, predictive modeling).</li><li>Integrate machine learning models into Power BI dashboards.</li><li>Experience building semantic models</li></ul>Dashboard Development and Visualization<ul><li>Designing dashboards: Creating visually appealing and interactive dashboards.</li><li>Creating visualizations: Using charts, graphs, and other visual elements to represent data.</li><li>Implementing interactivity: Adding filters, slicers, and drill-down capabilities.</li><li>Expertise in SQL and DAX and knowledge of Python, R.</li><li>Strong proficiency in Power BI.</li><li>Data modeling and visualization skills.</li><li>Strong problem-solving skills to address technical challenges and data quality issues.</li><li>Analytical skills with capacity to analyze complex data problems and draw meaningful insights.</li></ul>
2026-03-18T00:00:00Z

Data Engineer

Washington, DC
onsite
Temporary
55 - 65 USD / Hourly
I’m building a world-class team to power our next generation of data products. We’re looking for a Senior Data Engineer who knows AWS inside and out—someone who can design secure, scalable data pipelines, own ETL/ELT workflows, engineer cloud data infrastructure, and deliver dimensional and semantic models that our analysts, data scientists, and applications can trust.You’ll work closely with product, security, platform engineering, and analytics to move our architecture toward a real-time, governed, cost-aware, and highly automated data ecosystem.What You’ll Do<ul><li>Design & build end-to-end pipelines on AWS (batch and streaming) using services like Glue, EMR, Lambda, Step Functions, Kinesis, MSK, and Fargate.</li><li>Develop robust ETL/ELT (PySpark, Spark SQL, SQL, Python) for structured, semi-structured, and unstructured data at scale.</li><li>Own data storage & processing layers: S3 (Lake/Lakehouse), Redshift (or Snowflake on AWS), DynamoDB, and Athena with strong partitioning, compaction, and performance tuning.</li><li>Implement data models (3NF, dimensional/star, Data Vault, Lakehouse medallion) for analytics and operational workloads.</li><li>Engineer secure infrastructure-as-code with Terraform (or CDK) across multi-account setups; implement CI/CD via GitHub Actions or AWS CodeBuild/CodePipeline.</li><li>Harden security & governance: use IAM, Lake Formation, KMS, Secrets Manager, VPC/PrivateLink, GLUE Catalog, and fine-grained access controls. Partner with SecOps on compliance (e.g., SOC 2, FedRAMP, HIPAA depending on dataset).</li><li>Observability & reliability: build monitoring with CloudWatch, OpenTelemetry, and data quality checks (e.g., Great Expectations, Deequ), implement SLOs and alerts.</li><li>Champion best practices: code reviews, testing (unit/integration), documentation, runbooks, and blameless postmortems.</li><li>Mentor mid-level engineers and collaborate on architectural decisions, standards, and technical roadmaps.</li></ul>
2026-03-10T00:00:00Z

IT Monitoring & Observability Engineer

Washington, DC
onsite
Temporary
50 - 55 USD / Hourly
We are seeking an experienced IT Monitoring & Observability Engineer to support enterprise monitoring, performance, and availability across a complex IT environment. This role is responsible for managing and optimizing a unified monitoring and event management platform, driving actionable insights, improving alert quality, and supporting 24x7 operations.The ideal candidate has strong hands‑on experience with OpenText Operations Bridge Manager (OBM) and related monitoring tools, deep knowledge of infrastructure monitoring, and a solid understanding of ITIL/ITSM practices. Key Responsibilities<ul><li>Support and manage a unified Configuration Management Database (CMDB), ensuring accuracy and standardization</li><li>Collect, aggregate, and analyze monitoring and performance data to support ITIL processes including:</li><li>Configuration</li><li>Event</li><li>Capacity</li><li>Availability</li><li>Demand</li><li>Incident and Problem Management</li><li>Assess, tune, and optimize monitoring capabilities to deliver accurate, actionable alerts for 24x7 operations teams</li><li>Design, create, and maintain intuitive dashboards showing real‑time and historical service health and performance</li><li>Configure, maintain, and optimize monitoring dashboards across diverse infrastructure components</li><li>Deploy, manage, and update Management Packs, connectors, and monitoring policies</li><li>Perform event correlation, suppression, and filtering to reduce alert noise and improve incident triage</li><li>Integrate data from third‑party monitoring tools into a centralized event console</li><li>Conduct proactive performance and availability monitoring, identify root causes, and implement preventive measures</li><li>Support continuous improvement of monitoring strategy, tooling, and operational effectiveness</li></ul>
2026-03-16T00:00:00Z