Senior Data Engineer - AWS

TEKsystems; United States; On-site; USD 110,000 - 165,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) retirement plan

Life insurance

Disability insurance

Health Savings Account (HSA)

Paid time off

Job summary

TEKsystems Global Services (TGS) seeks a senior Data Engineer to design and deliver enterprise data platforms on AWS and Snowflake. You will craft scalable pipelines, implement governance, and drive best practices in a fast-paced environment.

You will participate in architecture discussions, mentor junior engineers, and contribute reusable accelerator solutions while focusing on security and cost optimization.

Qualifications

• 6+ years of hands-on Data Engineering delivering enterprise-scale data platforms and analytics
• At least two end-to-end AWS production projects from design to deployment
• At least two Snowflake end-to-end projects including ingestion, modeling, optimization
• Strong SQL, Python, and ETL/ELT development skills
• Experience with data governance, security, and access controls

Responsibilities

• Gather requirements in customer workshops and translate them into technical solutions
• Participate in architectural discussions to design scalable data platforms on AWS and Snowflake
• Build data ingestion, transformation, and orchestration pipelines
• Design lakehouse and warehouse models following Well-Architected guidelines
• Develop Snowflake-based data platforms with Snowpipe, Streams, Tasks, and Virtual Warehouses
• Implement CI/CD pipelines for data and analytics workloads
• Mentor junior engineers and contribute reusable accelerator solutions

Skills

SQL

Python

ETL/ELT

AWS data services

Snowflake

Data modeling

Data pipelines

Data governance

Big data

CI/CD

Education

Bachelor's or Master's degree in Computer Science / Engineering

Tools

Databricks

AWS EMR

Snowpipe

Lake Formation

Kinesis

Redshift

DynamoDB

Quicksight

Git

Job description

Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise.

We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success.

Ready to join us?

Here’s what the opportunity supported through our TGS Talent Acquisition Team requires:

Essential Functions

• Actively involves in requirement gathering workshops from customers, translating the functional requirements into technical solutions, and translating complex technical concepts into actionable insights for stakeholders under the guidance from an Architect or Lead Engineer
• Actively participates in architectural discussions under guidance / supervision from Practice Architect / Team Lead to design and develop effective, efficient, reliable, secure, scalable, and cost-optimized data engineering solutions as per the overall data management strategy
• Design and implement modern data platform architectures using AWS-native data services and/or Snowflake, including:
• Amazon S3 / Lake Formation
• Glue, Lambda, EMR, Kinesis, Eventbridge, SQS/SNS
• Amazon Redshift, RDS/Aurora, DynamoDB
• Snowflake Data Ingestion (different data formats)
• Develop scalable data ingestion, transformation, and orchestration pipelines using AWS services
• Design high-performance Lakehouse and Warehouse models following AWS Well Architected Framework guidelines
• Design, implement, and optimize Snowflake-based cloud data platforms leveraging features such as Snowpipe, Streams, Tasks, Dynamic Tables, and Virtual Warehouses to deliver scalable, secure, and high-performance analytical solutions.
• Develop enterprise-grade ELT frameworks and data integration solutions on Snowflake, ensuring adherence to data governance, performance optimization, cost management, and operational best practices
• Build interactive and scalable semantic models and reports with Quicksight or other reporting tools
• Implement CI/CD pipelines for data and analytics workloads
• Ensure adherence to data governance, security, and compliance standards
• Occasionally mentor or oversee junior engineers and drive best practices
• Contribute to developing accelerator solutions or reusable frameworks
• Bachelors or Masters degree in Computer Science, Engineering, or related field.
• 6+ years of hands-on Data Engineering experience delivering enterprise-scale data platforms and analytics solutions
• At least two end-to-end production grade implementation projects on AWS involving design, development, testing, and production deployment
• At least two end-to-end implementation projects on Snowflake involving data ingestion, transformation, modeling, and optimization
• Strong expertise in SQL, Python, and ETL/ELT development
• Strong hands-on expertise in AWS data services, including:
• Amazon S3 / Lake Formation
• Glue, Lambda, EMR, Kinesis, Eventbridge, SQS/SNS
• Amazon Redshift, RDS/Aurora, DynamoDB
• Strong working knowledge of Snowflake architecture, including
• Virtual Warehouses
• Snowpipe / Copy Command / Dynamic Table
• Streams & Tasks
• Data Sharing
• Performance Tuning
• Security & Access Control
• Experience building batch and near real-time data pipelines handling structured and semi-structured data (JSON, Parquet, CSV, XML)
• Knowledge of CI/CD, Git, DevOps practices, and deployment automation
• Experience implementing data quality, governance, security, and access controls in cloud platforms.
• Strong problem-solving, communication, and stakeholder management skills
• Excellent verbal and written communication skills.
• Ability to participate in agile ceremonies (planning, retrospectives, backlog grooming)
• Ability to work cross-functionally with product managers, business stakeholders, and engineering teams.
• Passion for staying updated with the latest cloud and AI/ML technologies and ability to evaluate and adopt emerging tools and methodologies.

Preferred Qualifications:

• Experience with AWS Sagemaker / Bedrock and/or Snowflake Cortex AI/Cortex Code
• AWS certifications such as:
• Snowflake Certification such as:
• Experience with Databricks
• Familiarity with Streaming technologies (in AWS and/or Snowflake)

Job Type & Location

This is a Permanent position based out of New York, NY.

Pay and Benefits

The pay range for this position is $109700.00 - $164500.00/yr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification. Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc. Our full-time, internal employment benefits include the following: Medical, Dental, and Vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life and AD&D for employee and dependents) Short and Long-Term Disability Health Spending Account (HSA) Transportation Benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave)

Job Type & Location

This is a Permanent position based out of New York, NY.

Application Deadline

This position is anticipated to close on Nov 3, 2026.