> Markdown version of [/jobs/ext/1470736-telecommute-data-engineer](https://www.wearedevelopers.com/jobs/ext/1470736-telecommute-data-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). --- # TELECOMMUTE Data Engineer - **Company:** Mphasis - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Amazon S3, Computer Programming, Databases, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Security, Software Debugging, Monitoring of Systems, Python (Programming Language), PostgreSQL, MySQL, Performance Tuning, Query Optimization, SQL Databases, Management of Software Versions, Data Processing, Scripting, Data Storage Management, Data Ingestion, Pyspark, AWS Glue, AWS Data Analytics, Data Pipelines, Serverless Computing, Amazon Redshift - **Published:** July 28, 2026 - **Apply:** https://www.dice.com/job-detail/563d6618-5720-471d-aaa2-3c999171451b ## About the Role Minimum 7 yrs in Data engineering with relevant skills Mandatory Skills: AWS Services (S3, Redshift, Lambda, Glue, Step function) Python Technical Expertise: Proficient in AWS services: S3, Redshift, Glue, Step Functions, Lambda. Strong understanding of ETL/ELT processes and data transformation. Experience with monitoring and debugging data pipelines in a production environment. Database Knowledge: Proficiency in SQL and hands-on experience with Redshift for data modeling and performance tuning. Knowledge of other databases (e.g., PostgreSQL, MySQL) is a plus. Programming Skills: Proficiency in Python for scripting, data manipulation, and building serverless applications with Lambda. Knowledge of PySpark or similar frameworks is a plus. ## Description We are seeking a skilled, experienced and motivated Data Engineer with expertise in AWS services such as S3, Redshift, Glue, Step Functions, and Lambda to join our support team. The ideal candidate will be responsible for managing, monitoring, and troubleshooting data pipelines and workflows, ensuring the seamless operation of data infrastructure, and providing ongoing support to maintain data availability and integrity., AWS Data Pipeline Maintenance: Monitor and troubleshoot data pipelines and workflows utilizing AWS Glue, Step Functions, and Lambda. Optimize existing data pipelines for performance and cost efficiency. Data Storage Management: Manage and support data stored in Amazon S3 and ensure efficient storage policies (e.g., lifecycle rules, versioning, and encryption). Ensure optimal performance and availability of Amazon Redshift clusters, including schema maintenance and query tuning. Issue Resolution: Respond to incidents related to data failures, latency, or data quality and provide timely resolutions. Debug and resolve issues in ETL jobs, data ingestion, and transformations. Performance Optimization: Perform root cause analysis for recurring issues and implement solutions to enhance the reliability of the data ecosystem. Identify areas for process improvement and implement automation wherever feasible. Data Quality and Governance: Implement monitoring tools and dashboards to track data pipeline health. Collaborate with stakeholders to ensure adherence to data security, governance, and compliance policies. Documentation and Reporting: Maintain up-to-date documentation for data pipelines, workflows, and troubleshooting steps. Provide regular reports on system performance and key metrics. Collaboration and Support: Work closely with data engineering, analytics, and operations teams to resolve issues and gather requirements for enhancements. Support ad-hoc data requests and ensure timely delivery of data to business users. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) - [How we built an AI-powered code reviewer in 80 hours](https://www.wearedevelopers.com/videos/1511-how-we-built-an-ai-powered-code-reviewer-in-80-hours) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Best Paying Remote Jobs](https://www.wearedevelopers.com/magazine/255-best-paying-remote-jobs) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)