<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>
<p>Robert Half is seeking a data-driven and strategic Digital Marketing Analyst to support one of our clients in Washington, DC. This contract opportunity is ideal for a marketing professional who enjoys turning data into meaningful insights that drive smarter marketing decisions.</p><p>In this role, you will partner with cross-functional marketing teams to analyze digital campaign performance, identify optimization opportunities, and deliver insights that strengthen overall marketing strategy. The ideal candidate is both analytical and creative—someone who understands the numbers behind marketing while also appreciating the strategy and storytelling that make campaigns successful.</p><p>This position offers an exciting opportunity to work in a fast-paced marketing environment where your insights will directly influence campaign performance, audience engagement, and digital growth.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p>• Analyze and evaluate performance across multiple digital marketing channels including paid media, search, social media, email marketing, and website traffic.</p><p>• Track, monitor, and report on campaign KPIs such as conversions, engagement, impressions, traffic, and lead generation.</p><p>• Develop dashboards and performance reports that provide actionable insights for marketing and leadership teams.</p><p>• Identify trends, patterns, and opportunities to optimize digital marketing strategies and improve ROI.</p><p>• Collaborate closely with marketing managers, content teams, and digital strategists to support campaign planning and optimization.</p><p>• Conduct A/B testing and performance experiments to improve marketing outcomes.</p><p>• Use analytics tools to monitor user behavior and identify opportunities to enhance the customer journey.</p><p>• Support SEO and paid advertising initiatives by analyzing keyword performance, search traffic, and campaign effectiveness.</p><p>• Translate complex data into clear, easy-to-understand recommendations for stakeholders.</p><p>• Assist with forecasting performance and providing data-driven recommendations for future campaigns.<strong></strong></p>
We are looking for an experienced Principal Advanced Analytics Engineer to join our team in Reston, Virginia. In this role, you will collaborate with business leaders and technical experts to design and implement cutting-edge AI and machine learning solutions that drive impactful insights and decision-making. This position offers the opportunity to lead advanced analytics initiatives, establish engineering standards, and mentor team members while staying at the forefront of emerging technologies.<br><br>Responsibilities:<br>• Collaborate with stakeholders to design and implement AI/ML solutions tailored to business objectives.<br>• Develop and enforce engineering standards, design patterns, and quality controls for analytics projects.<br>• Build and manage CI/CD pipelines for machine learning models, incorporating automated testing, monitoring, and retraining processes.<br>• Integrate Responsible AI practices to ensure fairness, bias detection, explainability, and compliance with regulations.<br>• Create and maintain enterprise data models, including dimensional and star schemas, to support analytics and business intelligence.<br>• Work closely with analytics teams to deliver scalable and efficient data solutions.<br>• Implement robust data security measures, access controls, and lineage tracking in line with corporate policies and privacy laws.<br>• Stay updated on advancements in AI, ML, and BI technologies, bringing innovative solutions to the team.<br>• Provide mentorship to Data Analytics Engineers, fostering attention to detail and promoting best practices.