Senior Data Engineer AWS (Data Modernization)

TEK Systems

United States

On-site

USD 110,000 - 165,000

Full time

3 days ago

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Benefits offered by this job

Medical, dental & vision

401(k) Retirement Plan

Life Insurance

Disability

Time Off

Job summary

TEKsystems is seeking a senior Data Engineer to design and implement modern data platforms on AWS and Snowflake. You will craft scalable ingestion, transformation, and analytical pipelines, mentor junior engineers, and collaborate with product managers and stakeholders to deliver reliable data products.

The role requires 6+ years in enterprise data engineering, deep SQL/Python expertise, and hands-on experience with Snowflake architecture and AWS data services.

Qualifications

BS/MS in Computer Science, Engineering, or related field.
6+ years delivering enterprise data platforms and analytics.
Two end-to-end AWS projects with design, development, and production deployment.
Two end-to-end Snowflake projects with ingestion, modeling, and optimization.
Strong SQL, Python, and ETL/ELT development skills.

Responsibilities

Gather requirements and translate them into technical data solutions.
Contribute to architectural discussions and design scalable data platforms.
Build data pipelines using AWS services and Snowflake.
Design Lakehouse/warehouse models and optimize performance and cost.
Develop ELT frameworks and governance practices.
Create semantic models and reports with Quicksight or similar tools.
Implement CI/CD pipelines for data workloads and mentor junior engineers.

Skills

SQL

Python

ETL/ELT development

AWS data services

Snowflake

Data modeling

CI/CD DevOps

Git

Communication with stakeholders

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

Snowflake

AWS

Quicksight

Databricks

Job description

Responsibilities

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:

Bachelor’s or Master’s 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.

Qualifications

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

***Posting Close Date: 10/28/2026***

This includes receiving your manager approval form.

We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification.

US Salary range:$109,700-$164,500 Potential bonus up to: $15,000

Compensation will be determined based on a variety of factors which may include, but are not limited to, education, experience, skills, and geographic location. As an internal Allegis Employee exploring roles within TEKsystems Global Services, hiring eligibility and maintaining existing ancillary benefits are subject to change with transfer from one role to another. Please reach out to Talent Mobility for specific questions: TGS_Talent_Ops@teksystems.com.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: