Senior Data Engineer - AWS

TEKsystems•New York, NY

6d•$109,700 - $164,500•Remote

About The Position

TEKsystems Global Services is seeking a Senior Data Engineer with strong expertise in the AWS Data & Analytics ecosystem and the Snowflake data platform. The role designs, develops, and deploys secure, scalable, high-performance cloud-native engineering and analytics solutions. It involves close collaboration with team leads and architects, AI engineers, data scientists, and business stakeholders to deliver data-driven solutions. The engineer participates in customer requirements workshops and architectural discussions, translating functional requirements into technical solutions under the guidance of an architect or lead engineer. The role designs and implements modern data platform architectures using AWS-native services and/or Snowflake; develops scalable ingestion, transformation, and orchestration pipelines; and builds Lakehouse, Warehouse, ELT, semantic-model, and reporting solutions. It also includes implementing CI/CD, maintaining governance and security standards, mentoring or overseeing junior engineers occasionally, and contributing reusable frameworks or accelerator solutions. This is a permanent, full-time position based in New York, NY, and listed as fully remote. The stated annual pay range is $109,700–$164,500. Individual compensation depends on qualifications, skills, relevant experience, job knowledge, location, internal equity, and other job-related factors. Additional earnings may be available through incentive programs such as annual bonuses or profit sharing. Full-time internal employment benefits include medical, dental, and vision coverage; critical illness, accident, and hospital coverage; a 401(k) plan; life insurance; short- and long-term disability; an HSA; transportation benefits; an employee assistance program; and time off or leave.

Requirements

Bachelor’s or master’s degree in Computer Science, Engineering, or a related field.
At least 6 years of hands-on data engineering experience delivering enterprise-scale data platforms and analytics solutions.
At least two end-to-end, production-grade AWS implementation projects involving design, development, testing, and production deployment.
At least two end-to-end Snowflake implementation projects involving data ingestion, transformation, modeling, and optimization.
Strong SQL, Python, and ETL/ELT development skills.
Hands-on expertise with AWS data services, including S3/Lake Formation; Glue, Lambda, EMR, Kinesis, EventBridge, SQS/SNS; Redshift, RDS/Aurora, DynamoDB; Athena; and QuickSight.
Working knowledge of Snowflake architecture and features, including Virtual Warehouses, Snowpipe/Copy Command/Dynamic Tables, Streams and Tasks, Data Sharing, performance tuning, and security/access control.
Expertise in data modeling, including star and snowflake schemas and medallion architecture.
Experience building batch and near-real-time data pipelines for structured and semi-structured data such as JSON, Parquet, CSV, and 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.
Ability to participate in agile ceremonies, including planning, retrospectives, and backlog grooming.
Ability to work cross-functionally with product managers, business stakeholders, and engineering teams.
Interest in staying current with cloud and AI/ML technologies and evaluating emerging tools and methodologies.
Ability to work as a team player and collaborate with team leads, architects, AI engineers, data scientists, and business stakeholders.

Nice To Haves

Experience with AWS SageMaker and/or Bedrock, or Snowflake Cortex AI/Cortex Code.
AWS Data Engineer Associate certification.
AWS Machine Learning Engineer Associate certification.
SnowPro Advanced: Data Engineer certification.
SnowPro Core certification.
Experience with Databricks.
Familiarity with streaming technologies in AWS and/or Snowflake.
Exposure to data governance tools.

Responsibilities

Participate in customer requirements-gathering workshops and translate functional requirements into technical solutions; explain complex technical concepts to stakeholders under architect or lead engineer guidance.
Participate in architectural discussions and help design reliable, secure, scalable, efficient, and cost-optimized data engineering solutions aligned with the data management strategy.
Design and implement modern data platform architectures using AWS-native data services and/or Snowflake.
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 cloud data platforms using Snowpipe, Streams, Tasks, Dynamic Tables, and Virtual Warehouses.
Develop enterprise-grade ELT frameworks and Snowflake data integration solutions, following governance, performance, cost-management, and operational best practices.
Build interactive, scalable semantic models and reports using QuickSight or other reporting tools.
Implement CI/CD pipelines for data and analytics workloads.
Ensure data governance, security, and compliance standards are followed.
Occasionally mentor or oversee junior engineers and promote best practices.
Contribute to accelerator solutions or reusable frameworks.
Participate in agile ceremonies and collaborate across product, business, and engineering teams.

Benefits

Medical, dental, and vision coverage
Critical illness, accident, and hospital coverage
401(k) retirement plan with pre-tax and Roth post-tax contributions
Voluntary life and AD&D insurance for employees and dependents
Short- and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time off/leave, including PTO, vacation, or sick leave
Potential additional earnings through incentive programs such as annual bonuses or profit sharing