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Technical Lead - Data Engineer

00071221801

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.

About Cognizant: 
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

Additional employment information
Compensation 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.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

Benefits that help you thrive and grow

Our benefits program is built with you in mind—so you can enjoy a fulfilling, balanced and healthy life.

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Financial wellbeing

We regularly review market data to ensure compensation reflects the value you bring. Your benefits extend beyond pay and may include retirement plans, financial education, etc.

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Physical and mental health

We empower you to prioritize your wellbeing through paid time off, flexible working where possible, healthcare plans, counselling, our Mental Health Allyship program and more. 

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Your career, your way

With 350,000+ roles at Cognizant, you’ll have opportunities explore new technologies, industries and locations—and build the skills you need to grow your career.

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Real-world impact

Think about the biggest brands you rely on. Chances are, they rely on us to help strengthen their business. Here, you’ll turn bold ideas into solutions that improve lives everywhere.

Your path to Cognizant

Here’s what you can expect from our hiring process. Please keep in mind that it may vary by role and location. Explore our FAQs to learn more.

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Step 1: Apply to the right opportunity

Find an open role that matches your skills and career goals and show us why you’re the person for the job. Don’t see the right opportunity? Consider joining our Talent Community.

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Step 2: Connect with your recruiter

If one of our recruiters sees a fit, they’ll set up a short intro call to learn more about you and how your experiences and skills match the role.

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Step 3: Show off your skills

If you and our team would like to continue the process, you’ll interview with our hiring team. Some roles may also require technical assessments and/or client interviews.

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Step 4: Decision time

Our team will then review each candidates’ potential to succeed in the role. This step may take some time because we want to find the right fit for both you and us—but you can count on us to keep you updated.

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Cognizant has given me the opportunity to thrive as a leader and as a person. The culture of recognition, the great benefits and the sense of community motivate me, and I strive to give my best every day.
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I have the privilege of working with an amazing, diverse team with loads of international experience. It’s inspiring when we all bring our different thinking, skills and experience together to deliver great things.
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