> Markdown version of [/jobs/ext/3104451-data-flow-engineer](https://www.wearedevelopers.com/jobs/ext/3104451-data-flow-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Flow Engineer - **Company:** Pointer Technologies - **Location:** Annapolis Junction, MD, United States - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Information Systems, Computer Programming, Data as a Services, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Systems, Data Visualization, Data Warehousing, Relational Databases, Apache Hadoop, Python (Programming Language), PostgreSQL, Microsoft SQL Server, MySQL, Power BI, Ansible, SQL Databases, Data Streaming, Tableau (Software), Unstructured Data, Google Cloud, Apache Spark, Infrastructure Automation Frameworks, Information Technology, Apache Flink, Apache Kafka, Build Tools, Apache Nifi, Data Delivery, Terraform, Data Pipelines - **Published:** September 27, 2026 - **Apply:** https://www.juju.com/job/16_33d610a620 ## About the Role * Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. * Proficiency in ETL tools such as Apache NiFi. * Strong programming skills in Python, Java, or Scala. * Experience with SQL and working with relational databases (e.g., PostgreSQL, MySQL, SQL Server). * Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. * Solid understanding of data modeling, schema design, and data warehousing concepts. Nice To Have * Experience with big data technologies (e.g., Hadoop, Spark, Kafka). * Knowledge of streaming data platforms such as Apache Flink or AWS Kinesis. * Hands-on experience with data visualization tools like Tableau or Power BI. * Familiarity with infrastructure-as-code tools (e.g., Terraform, Ansible) for automating data pipeline deployments. ## Description Pointer Technologies is seeking a talented Data Flow and ETL Engineer to design, implement, and maintain robust data pipelines and ETL processes. You will play a critical role in transforming raw data into actionable insights by ensuring data quality, integrity, and accessibility. The ideal candidate has a strong background in data engineering, a passion for optimization, and a commitment to delivering scalable and reliable data solutions. This person is diligent, works well with others, inspired to learn, driven by mission and practices effective communication. Responsibilities * Design, develop, and maintain data pipelines and ETL workflows to support analytics and mission operations. * Build systems to collect, process, and store structured and unstructured data from various sources. * Collaborate with data scientists, analysts, and software engineers to understand data needs and ensure smooth data delivery. * Optimize data flows for performance, scalability, and reliability. * Monitor and troubleshoot data pipeline performance, resolving issues promptly. * Ensure data quality and integrity through robust validation and error-handling mechanisms. * Stay up-to-date with the latest ETL tools, data integration techniques, and best practices. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Dev & Test in the Cloud? Deploy your cloud environments with Ansible & Terraform](https://www.wearedevelopers.com/videos/1607-dev-test-in-the-cloud-deploy-your-cloud-environments-with-ansible-terraform) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)