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Closed listing

TEKsystems

Senior Data Engineer - AWS

New York, NY, United States

$109,700 to $164,500 USD / year

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Pay: $109,700 to $164,500 USD / year
Experience: 6+ years of hands-on Data Engineering experience delivering enterprise-scale data platforms and analytics solutions
Posting language: English
Posted: Oct 21, 2026

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Original job description

Archived listing. The details below describe a past opening.

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?

Heres what the opportunity supported through our TGS Talent Acquisition Team requires:

We are seeking a highly skilled Sr. Data Engineer with strong expertise in AWS Data & Analytics ecosystem, and Snowflake data platform to design and deliver modern, scalable data solutions.

The ideal candidate should be a good team player with 6+ years of experience in data engineering with deep hands-on expertise in Amazon Web Services platform (S3, Glue, Lambda, Kinesis, Redshift, RDS/Aurora, Athena, Quicksight). Experience with AWS Sagemaker/Bedrock sevices is a definite plus. In addition, the candidate should have at least two end to end project experience developing Snowflake native data engineering solutions involving Snowpipe / Copy Command / Dynamic Table / Streams & Tasks

This role requires expertise in designing, developing, and deploying secure, scalable, and high-performance cloud-native engineering and analytics solutions, close team collaboration with team lead/ architects, AI Engineers, Data Scientists, and Business Stakeholders to deliver impactful, data-driven solutions.

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

Mandatory Skills/Competencies:

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
Athena, Quicksight
Strong working knowledge of Snowflake architecture, including
Virtual Warehouses
Snowpipe / Copy Command / Dynamic Table
Streams & Tasks
Data Sharing
Performance Tuning
Security & Access Control
Expertise in data modeling (star/snowflake schemas, medallion architecture)
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:
AWS Data Engineer Associate
AWS Machine Learning Engineer Associate
Snowflake Certification such as:
SnowPro® Advanced: Data Engineer
SnowPro® Core Certification
Experience with Databricks
Familiarity with Streaming technologies (in AWS and/or Snowflake)
Exposure to data governance tools

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.

Workplace Type

This is a fully remote position.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

Were a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. Were a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. Were strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Were building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

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