Data Engineer **Req number:** R4505 **Employment type:** Full time **Worksite flexibility:** Hybrid **Who we are** CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. **Job Summary** We are looking for a motivated Data Engineer ready to take us to the next level! If you have of experience in Azure Data Factory (ADF), Databricks, Python, and SQL, along with solid knowledge of DevOps practices. and are looking for your next career move, apply now.  **Job Description** We are looking for a **Data Engineer** . **This position will** be **full-time** and **Hybrid.** **What You’ll Do** + Develop and MaintainData Pipelines: Design, develop, and manage complex ETL/ELT processes usingAzure Data Factory(ADF), ensuring the timely and accurate ingestion of data from multiple sources. + BigData Processingwith Databricks: Utilize Databricks for large-scaledata processing,data transformation, and advanced analytics, leveragingSparkfor real-timedata processing. + Database Management: Write and optimize complexSQLqueries fordata extraction, transformation, and analysis across different databases (e.g., AzureSQL, Synapse,PostgreSQL). + Data Modeling: Design and implementdata modelsto support scalabledata pipelinesand analytical reporting needs. + PythonScripting: Develop and maintainPythonscripts fordata processing,automationof workflows, and integration with APIs and other services. + ImplementDevOpsPractices: Work withDevOpstools and practices (e.g.,Azure DevOps,Git, CI/CD pipelines) to automate data workflows, ensureversion control, and manage deployments. + Data Quality& Governance: Ensure data accuracy and consistency throughdata validation, quality checks, and adherence todata governancepolicies. + Collaboration: Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and provide solutions that align with business objectives. **What You'll Need** + 5+ years of experience as a Data Engineer or in a similar role. + Strong hands-on experience withAzure Data Factory(ADF) for building and managingdata pipelines. Expertise in Databricks fordata processingand transformation, with a deep understanding ofApache Spark. + Proficiency inPythonfor scripting,data processing, and building custom ETL/ELT logic. + Advanced knowledge ofSQLfor querying,data manipulation, andperformance tuning. + Experience withDevOpspractices, including CI/CD pipelines,version control(Git), and automated deployments. + Understanding ofdata architecture,data warehousing, anddata modelingconcepts. + Excellent problem-solving skills, with the ability to work independently as well as part of a team. **Preferred Skills** + Experience with APIs and RESTful services fordata integration. + Knowledge ofbig datatools and frameworks beyond Databricks, such asHadoop, Kafka, or Airflow. + Experience with containerization technologies like Docker and Kubernetes. + Certifications inMicrosoft Azure(e.g., Azure Data Engineer Associate, Azure Solutions Architect) are a plus **Physical Demands** + Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. + Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor. **Reasonable accommodation statement** If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.