Pay
Lower than most similar jobs
$68K–$109K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Technical Lead - Data Engineer
Hartford, Connecticut, United States
Actively hiring, first seen by us today- Pay
$68,000–109,000/year — pay source
Applications will be accepted until December 4, 2026. The annual salary for this position is between $68,000 - $109,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Read the full posting- Work setting
Hybrid — work setting source
Ability to manage multiple priorities, risks and dependencies in a delivery environment. We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Hartford, CT. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingOnsite Technical Lead – Data Engineering to work closely with customer stakeholders and offshore delivery teams.
Act as the onsite technical lead and primary technical point of contact for customer stakeholders.
Act as primary technical contact for customer stakeholders
Design, develop and review data solutions in Python, PySpark and SQL
Direct offshore engineering teams and coordinate onsite-offshore work
Troubleshoot complex application, data and performance issues
Coordinate releases and support production deployments
From the employer’s posting
Onsite Technical Lead – Data Engineering to work closely with customer stakeholders and offshore delivery teams. The role requires strong hands-on expertise in Python/PySpark and SQL, along with good knowledge of Microsoft Fabric or other cloud data platforms. The individual will provide technical leadership, drive solution design and delivery, troubleshoot complex issues, and act as the primary technical interface with the customer.
Act as the onsite technical lead and primary technical point of contact for customer stakeholders.
Design, develop and review solutions using Python, PySpark and SQL.
Collaborate closely with offshore engineering teams, providing technical direction and ensuring effective onsite-offshore coordination.
Troubleshoot complex application, data and performance issues and drive them to resolution.
Coordinate releases and provide technical support during implementation and production deployments.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 4, 2026today
- Recorded sightings
- 2
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 6 and day 54.
At Cognizant, jobs usually come down by about day 21.
From 11,033 similar postings that came down, and 386 of Cognizant’s. Coming down is not always a hire.
Cognizant is hiring
139 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is picking up
- Takes jobs down quickly
- 6% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Azure
- Databricks
- GCP
- Power BI
- PySpark
Where the posting names them
About the role Onsite Technical Lead – Data Engineering to work closely with customer stakeholders and offshore delivery teams. The role requires strong hands-on expertise in Python/PySpark and SQL, along with good knowledge of Microsoft Fabric or other cloud data platforms. The individual will provide technical leadership, drive solution design and delivery, troubleshoot complex issues, and act as the primary technical interface with the customer. In this role, you will:
- Understand business and technical requirements and translate them into scalable data engineering solutions. - Design, develop and review solutions using Python, PySpark and SQL. - Provide technical leadership across data ingestion, transformation, processing and integration workloads.
What you need to have to be considered - Strong hands-on experience with Python and PySpark. - Advanced working knowledge of SQL, including complex queries, data transformations and performance optimisation.
- Strong hands-on experience with Python and PySpark. - Advanced working knowledge of SQL, including complex queries, data transformations and performance optimisation. - Strong understanding of data engineering and ETL/ELT concepts.
- Provide technical leadership across data ingestion, transformation, processing and integration workloads. - Work with Microsoft Fabric or comparable cloud technologies such as Microsoft Azure, AWS or Google Cloud Platform. - Support solution architecture, technical design, development standards and code reviews.
- Strong understanding of data engineering and ETL/ELT concepts. - Experience with Microsoft Fabric or at least one major cloud platform, such as Azure, AWS or GCP. - Understanding of modern data architectures, data pipelines, data lakes/lakehouses and analytical platforms.
- Knowledge of Microsoft Fabric components, such as Lakehouse, OneLake, Data Factory, Spark and Warehouse. - Exposure to Databricks or similar distributed data-processing platforms. - Experience in cloud/data-platform modernisation or migration programmes.
These will help you stand out - Experience with Power BI, including report development and/or integration with analytical data platforms. - Knowledge of Microsoft Fabric components, such as Lakehouse, OneLake, Data Factory, Spark and Warehouse.
Your next step
Complete your application on careers.cognizant.com. The employer’s form will show what is required.
Already applied? Track this application
About Cognizant
- People
- About 351,600 in 2025, up 4% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as CTSH.
- H-1B visas
- 1,401 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Technical Lead – Data Engineering
About the role
Onsite Technical Lead – Data Engineering to work closely with customer stakeholders and offshore delivery teams. The role requires strong hands-on expertise in Python/PySpark and SQL, along with good knowledge of Microsoft Fabric or other cloud data platforms. The individual will provide technical leadership, drive solution design and delivery, troubleshoot complex issues, and act as the primary technical interface with the customer.
In this role, you will:
- Act as the onsite technical lead and primary technical point of contact for customer stakeholders.
- Understand business and technical requirements and translate them into scalable data engineering solutions.
- Design, develop and review solutions using Python, PySpark and SQL.
- Provide technical leadership across data ingestion, transformation, processing and integration workloads.
- Work with Microsoft Fabric or comparable cloud technologies such as Microsoft Azure, AWS or Google Cloud Platform.
- Support solution architecture, technical design, development standards and code reviews.
- Collaborate closely with offshore engineering teams, providing technical direction and ensuring effective onsite-offshore coordination.
- Lead technical discussions, requirement walkthroughs, design reviews and customer-facing solution discussions.
- Troubleshoot complex application, data and performance issues and drive them to resolution.
- Ensure adherence to engineering best practices, security, scalability and performance standards.
- Support estimation, planning, dependency management and technical risk identification.
- Coordinate releases and provide technical support during implementation and production deployments.
- Identify opportunities for automation, modernisation and performance improvement across the data landscape.
- Mentor team members and support technical capability development.
- Strong customer-facing communication and stakeholder-management skills.
- Ability to lead technical discussions and explain complex technical concepts clearly to both technical and business stakeholders.
- Strong analytical, troubleshooting and problem-solving skills.
- Ability to work independently in an onsite environment and take ownership of technical deliverables.
- Experience coordinating with geographically distributed/offshore teams.
- Ability to manage multiple priorities, risks and dependencies in a delivery environment.
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Hartford, CT. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
- Strong hands-on experience with Python and PySpark.
- Advanced working knowledge of SQL, including complex queries, data transformations and performance optimisation.
- Strong understanding of data engineering and ETL/ELT concepts.
- Experience with Microsoft Fabric or at least one major cloud platform, such as Azure, AWS or GCP.
- Understanding of modern data architectures, data pipelines, data lakes/lakehouses and analytical platforms.
- Experience developing, debugging and supporting enterprise-scale data solutions.
- Good understanding of software engineering practices, source control, CI/CD and deployment processes.
These will help you stand out
- Experience with Power BI, including report development and/or integration with analytical data platforms.
- Knowledge of Microsoft Fabric components, such as Lakehouse, OneLake, Data Factory, Spark and Warehouse.
- Exposure to Databricks or similar distributed data-processing platforms.
- Experience in cloud/data-platform modernisation or migration programmes.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Salary and Other Compensation
Applications will be accepted until December 4, 2026.
The annual salary for this position is between $68,000 - $109,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Applications will be accepted until December 4, 2026. The annual salary for this position is between $68,000 - $109,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
- Location & working pattern
Hartford, Connecticut, United States
- Ability to manage multiple priorities, risks and dependencies in a delivery environment. We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Hartford, CT. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.