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3 results for Business Intelligence Developer in Bethesda, MD
- Washington, DC
- onsite
- Permanent
- 60000 - 71000 USD / Yearly
- <p>We are looking for a dynamic Business Development Associate with expertise in sales and relationship management to join our team in Washington, D.C. This position offers the opportunity to be a part of a well-established sales team, fostering career growth while contributing to the company’s expansion within the services sector. The ideal candidate will excel at identifying client needs, developing solutions, and driving business success.</p><p><br></p><p>Responsibilities:</p><p>• Build and nurture strong relationships with clients, prospects, and internal stakeholders to foster trust and collaboration.</p><p>• Generate leads by identifying client needs, qualifying prospects, and understanding decision-making processes.</p><p>• Present marketing materials effectively and coordinate sales meetings to engage potential clients.</p><p>• Maintain and update the database of accounts and leads to ensure accurate and organized records.</p><p>• Provide valuable feedback and recommendations based on interactions with clients to improve marketing strategies.</p><p>• Research and analyze market trends to identify opportunities for business growth.</p><p>• Collaborate with the sales team to develop and execute strategic sales plans.</p><p>• Ensure consistent communication with clients to address their needs and provide tailored solutions.</p><p>• Monitor and report on sales performance metrics to drive improvements in processes and outcomes.</p><p><br></p><p>All interested candidates in the Business Development Associate and other fulltime permanent opportunities in the DMV please send your resume to Justin Decker via LinkedIn. </p>
- 2026-03-12T00:00:00Z
- Washington, DC
- remote
- Temporary
- 40 - 59.5 USD / Hourly
- <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>
- 2026-03-18T00:00:00Z
- Washington, DC
- onsite
- Temporary
- 55 - 65 USD / Hourly
- <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>
- 2026-03-10T00:00:00Z