Job Description
Job Listing ID:
4496731 Job Title:
Technical Lead - Data Engineering Application Deadline:
Open Until Filled Job Location:
Salem
Date Posted:
05/22/2026 Hours Worked Per Week:
Not Provided Shift:
Not Provided Duration of Job:
Either Full or Part Time, more than 6 months You may contact this employer directly.
(Obtain the contact information to print or add to your jobs.) Job Summary:
About the role We are seeking a highly experienced Technical Lead - Data Engineering with 10+ years of expertise delivering enterprise-scale data solutions on AWS. This role is suited for a seasoned, hands-on developer who combines deep technical proficiency with strategic thinking to design, build, and modernize data platforms. You will develop and implement complex data engineering solutions and contribute to large-scale cloud transformation initiatives, delivering high-quality, scalable, and performant data systems that power advanced analytics and business insights. In this role, you will: Design, build, and optimize scalable data engineering solutions using AWS cloud services. Develop and maintain robust ETL pipelines using AWS Glue (PySpark/Python) to process large-scale data efficiently. Implement and enhance data integration frameworks leveraging Glue Data Catalog, Crawlers, and S3/JDBC sources. Develop high-performance data processing logic using PySpark, Python, and SQL. Contribute to cloud data migration initiatives from on-premises systems to AWS (RDS PostgreSQL/Aurora) using AWS SCT, DMS, or custom frameworks. Orchestrate and manage data workflows using AWS Step Functions, Glue Workflows, and event-driven services. Collaborate with cross-functional teams to understand data requirements and deliver scalable data solutions. Monitor, troubleshoot, and optimize data pipelines using CloudWatch and other AWS monitoring tools. Ensure data quality, performance, and reliability across all data engineering processes. Follow best practices in coding, testing, and deployment to maintain high-quality deliverables. Work model:
We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in Charlotte, NC. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. These may change based on the project you are engaged in, as well as evolving business and client requirements. We will always be transparent about role expectations. Please note:
Some roles may require in-person interviews at Cognizant offices or client locations based on project needs. What you need to have to be considered 10+ years of experience in IT with a strong focus on Data Engineering and Analytics. Proven hands-on experience designing and developing scalable data pipelines using Apache Spark (PySpark). Strong expertise in AWS services, including Glue, S3, Lambda, Step Functions, Athena, RDS (PostgreSQL/Aurora), EventBridge, SNS, SQS, SES, and CloudWatch. Extensive experience building and optimizing ETL pipelines using AWS Glue (PySpark/Python). Experience in data migration from on-premises systems to AWS using tools such as AWS SCT and DMS or custom frameworks. Strong programming skills in Python, SQL, and UNIX Shell scripting. Experience working with Glue Data Catalog, Glue Crawlers, and handling structured and unstructured data sources. Solid understanding of data modeling, performance tuning, and optimization techniques for large-scale datasets. Hands-on experience with UNIX/Linux environments. Ability to work independently in a fast-paced environment and contribute to complex technical solutions. Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). This will help you stand out Experience with serverless and event-driven architectures on AWS. Strong understanding of data lake and data warehousing concepts. Hands-on experience with performance tuning and cost optimization in AWS data pipelines. Familiarity with reporting ... Job Classification:
Software Developers Access our statewide or regional occupation report for more information about wages,
employment outlooks, skills, training programs, related occupations, and more. Compensation
Salary:
Not Provided Job Requirements
Experience Required:
See Job Summary
Education Required:
None Minimum Age:
N/A Gender:
N/A
