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Added 1 min ago
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- $78,400 to $117,600 USD / year
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TEKsystems

Data Engineer II

Hanover, MD, United States

$78,400 to $117,600 USD / year

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Job details

Pay: $78,400 to $117,600 USD / year
Experience: 3-5 years of experience in Data Engineering developing production-grade data ingestion, transformation, and orchestration solutions.
Posting language: English
Posted: Oct 10, 2026

Original 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

Mandatory Skills/Competencies:

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).
Strong hands-on experience building data pipelines
Experience working with different data sources (structured, semi-structured, and unstructured).
Strong hands-on capability in at least one of the following platform areas
AWS Data Engineering (S3, Glue, Redshift, Lambda, Kinesis, SNS/SQS, EMR, Athena, Quicksight)
Azure Data Engineering (ADLS Gen2, Fabric, Synapse, Databricks, Power BI)
GCP Data Engineering (BigQuery, Data Storage, Dataproc, Pub/Sub, Dataflow, Datastream)
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
Informatica / IICS
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.

Preferred Qualifications:

Matillion data engineering certifications such as:
Matillion ETL Foundations Certification
Matillion Data Productivity Cloud Foundations Certification
Snowflake certifications such as:
SnowPro Core Certification
SnowPro Advanced: Data Engineer
Good Understanding of data modelling (Star/Snowflake) and performance tuning

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, 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)

Workplace Type

This is a hybrid position in Hanover,MD.

Application Deadline

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

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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