<p><strong>Data Modeling and Analysis</strong></p><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><p><strong>Dashboard Development and Visualization</strong></p><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>
<p>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 <strong>design secure, scalable data pipelines</strong>, <strong>own ETL/ELT workflows</strong>, <strong>engineer cloud data infrastructure</strong>, and <strong>deliver dimensional and semantic models</strong> that our analysts, data scientists, and applications can trust.</p><p>You’ll work closely with product, security, platform engineering, and analytics to move our architecture toward a <strong>real-time, governed, cost-aware</strong>, and <strong>highly automated</strong> data ecosystem.</p><p><strong>What You’ll Do</strong></p><ul><li><strong>Design & build end-to-end pipelines</strong> on AWS (batch and streaming) using services like <strong>Glue, EMR, Lambda, Step Functions, Kinesis, MSK</strong>, and <strong>Fargate</strong>.</li><li><strong>Develop robust ETL/ELT</strong> (PySpark, Spark SQL, SQL, Python) for structured, semi-structured, and unstructured data at scale.</li><li><strong>Own data storage & processing layers</strong>: <strong>S3 (Lake/Lakehouse), Redshift (or Snowflake on AWS), DynamoDB</strong>, and <strong>Athena</strong> with strong partitioning, compaction, and performance tuning.</li><li><strong>Implement data models</strong> (3NF, dimensional/star, Data Vault, Lakehouse medallion) for analytics and operational workloads.</li><li><strong>Engineer secure infrastructure-as-code</strong> with <strong>Terraform</strong> (or <strong>CDK</strong>) across multi-account setups; implement CI/CD via <strong>GitHub Actions</strong> or <strong>AWS CodeBuild/CodePipeline</strong>.</li><li><strong>Harden security & governance</strong>: use <strong>IAM</strong>, <strong>Lake Formation</strong>, <strong>KMS</strong>, <strong>Secrets Manager</strong>, <strong>VPC/PrivateLink</strong>, <strong>GLUE Catalog</strong>, and fine-grained access controls. Partner with SecOps on compliance (e.g., <strong>SOC 2</strong>, <strong>FedRAMP</strong>, <strong>HIPAA</strong> depending on dataset).</li><li><strong>Observability & reliability</strong>: build monitoring with <strong>CloudWatch</strong>, <strong>OpenTelemetry</strong>, and data quality checks (e.g., <strong>Great Expectations</strong>, <strong>Deequ</strong>), implement SLOs and alerts.</li><li><strong>Champion best practices</strong>: code reviews, testing (unit/integration), documentation, runbooks, and blameless postmortems.</li><li><strong>Mentor</strong> mid-level engineers and collaborate on architectural decisions, standards, and technical roadmaps.</li></ul><p><br></p>
We are looking for a skilled Data Engineer to join our team in Washington, District of Columbia. In this role, you will play a key part in designing and implementing secure, scalable solutions to support data and analytics initiatives. This is a long-term contract position, offering the opportunity to work with cutting-edge technologies and contribute to impactful projects.<br><br>Responsibilities:<br>• Develop, test, and maintain robust data pipelines and engineering solutions to support analytics and integrate new data sources.<br>• Collaborate with team members, stakeholders, and external vendors to evaluate and implement reliable, scalable, and secure technologies.<br>• Create efficient, automated processes to handle repetitive data management tasks.<br>• Conduct targeted data manipulation and analysis across diverse datasets.<br>• Implement advanced security measures within data warehouses and analytics platforms to counter evolving threats.<br>• Document technical processes and solutions to ensure seamless collaboration and knowledge sharing.<br>• Monitor and optimize system performance to ensure scalability and reliability.<br>• Stay updated on emerging data engineering trends and incorporate them into workflows.
We are looking for an experienced Data Center Technician to join our team in Ashburn, Virginia. In this role, you will play a critical part in managing and maintaining infrastructure installations, ensuring reliability and efficiency in operations. This is a long-term contract position that offers the opportunity to work on diverse projects and collaborate with various teams to deliver high-quality results.<br><br>Responsibilities:<br>• Oversee infrastructure installation requests from initiation through completion, ensuring all objectives are met.<br>• Conduct certifications of network connections and peripherals prior to deployment.<br>• Coordinate with contractors to manage power remediation projects and ensure Service Levels are consistently achieved.<br>• Provide detailed project estimates, interpreting schematics and drawings, and documenting requirements through collaboration with IT and project management teams.<br>• Handle the creation, approval monitoring, and closure of work tickets and TCMs.<br>• Assist in rack-level capacity management and monitor infrastructure performance.<br>• Participate in meetings related to infrastructure projects and provide input on ongoing initiatives.<br>• Generate Root Cause Analysis reports for power issues and implement corrective measures.<br>• Manage infrastructure installations, including power surveys, cabling setups, and new data center build-outs.<br>• Oversee equipment procurement processes, including ordering materials, tracking purchase orders, and managing inventory.