Hybrid Data Engineer II

TEKsystems; Hanover (MD); Hybrid; USD 78,000 - 118,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401(k) Retirement Plan

Life Insurance

Disability

Health Savings Account (HSA)

Transit Benefits

Time Off

Job summary

TEKsystems seeks an intermediate Data Engineer to build scalable cloud data pipelines and modern data platforms. 3–5 years of experience and strong SQL/Python are required. Snowflake, Matillion, and Databricks experience is a plus.

This role is based in Hanover, MD with hybrid work arrangements and on-site interviews. The ideal candidate will work under architects and leads to deliver data ingestion, transformation, and orchestration across data lake/data warehouse environments, ensuring

Qualifications

• BS/BA in CS, engineering or related field.
• indentation_removed
• 3–5 years of data engineering experience.

Responsibilities

• Gather requirements with architects/leads and implement data solutions.
• Collaborate with stakeholders to choose tools and data platforms.
• Develop scalable ingestion, transformation, and orchestration pipelines.
• Adhere to data governance, security, and quality standards.
• Implement CI/CD pipelines for data workloads.
• Participate in on-site design reviews and deployments.

Skills

SQL

Python

PySpark

Databricks

Snowflake

Matillion

Education

Bachelor's degree in computer science, engineering, or related field

Tools

Matillion

Snowflake

Databricks

Job description

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

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

Ready to join us?

Job Summary

We are seeking a highly skilled and talented Intermediate level Data Engineer with strong hands-on data engineering proficiency (modern cloud data engineering, data integration, distributed processing, orchestration, and DataOps practices) to develop and maintain modern, scalable data platforms. Past experience in Snowflake and Matillion is preferred but not mandatory.

The ideal candidate should be a good team player with 3-5 years of experience in data engineering developing scalable and efficient ETL pipelines processing different formats of data (structured, semi-structured and unstructured) following the data engineering best practices.

This role requires curiosity, ability to thrive in a fast and evolving environment, effective communication, and deep expertise in developing, and deploying scalable, and high-performance cloud-native data solutions, under the guidance of architects, and team leaders.

Essential Functions

• Under the guidance from architect/lead, actively involves in requirement gathering from customers, ideating, and implementing the technical solutions
• Collaborates closely with architects/leads and other stakeholders to identify the appropriate tools/technologies and implement the data management solutions
• Develop scalable data ingestion, transformation, and orchestration pipelines following modern principles and industry best practices for data lake or data warehouse / analytics solutions in an on-prem or cloud native architecture
• Builds all data management/analytics solutions following applicable Info-sec, quality control, and governance/maintenance standard
• Complies with all internal and external (project specific) operational, compliance and governance processes.
• Implement CI/CD pipelines for data and analytics workloads
• Bachelors degree in computer science, Engineering, or related field.
• 3-5 years of experience in Data Engineering developing production-grade data ingestion, transformation, and orchestration solutions.
• Strong proficiency in SQL and Python (PySpark proficiency will be an added advantage).
• Experience working with different data sources (structured, semi-structured, and unstructured).
• Strong hands-on capability in at least one of the following platform areas
• Snowflake (Snowpipe, Streams and Tasks, COPY command, dynamic tables, timetravel, Snowpark, Cortex)
• Matillion (pipeline design, orchestration, parameterization, environment promotion, error handling, and operational monitoring)
• Databricks
• Curious and growth mindset, meticulous, strong problem-solving, and excellent verbal and written communication skills
• Passion for staying updated with the latest cloud and AI/ML technologies and ability to evaluate and adopt emerging tools and methodologies.

******MANDATORY ON-SITE INTERVIEW IN HANOVER, MD*********

Job Type & Location

This is a Permanent position based out of Hanover, MD.

Pay and Benefits

The pay range for this position is $78400.00 - $117600.00/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
• Vision
• Critical Illness
• Accident
• 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)

Workplace Type

This is a hybrid position in Hanover, MD.

Application Deadline

This position is anticipated to close on Oct 23, 2026.