Senior Data Engineer/Analyst

Position Summary

Responsible for both advanced analysis and the design, implementation, and operation of production data pipelines, analytics-ready datasets, and powerful data visualizations. This individual translates business and analytics requirements into robust data models and reliable ETL/ELT processes, mentors analysts and junior engineers, and ensures datasets meet quality, security, and performance expectations. Interacts directly with internal and external stakeholders in the development of reporting and analytic solutions.

Essential Functions

• Responsible for improvements and maintenance of analytics and reporting infrastructure, including data warehouses, data lakes, and data pipelines.
• Lead the design and development of real-time data ingestion projects, collaborating with engineers to deploy API functionality in Snowflake.
• Create and manage data pipelines using Python and Airflow, automating repetitive tasks and improving operational efficiency.
• Establish and maintain data governance practices, including version control and separate test and production environments, to ensure data accuracy, security, and compliance.
• Design and implement strategic roadmaps for infrastructure and analytics development to support organizational objectives.
• Collaborate with business partners and internal teams to design and develop reporting solutions and analytical studies that support key business initiatives.
• Develop, validate, and execute complex SQL queries; create detailed reports and analyses to answer business questions, interpret results, and provide actionable recommendations.
• Manage data engineering project plans and timelines, ensuring high-quality and timely deliverables.
• Evaluate data requirements for assigned projects, ensuring data integrity, suitability, and alignment with business objectives.
• Transform data into actionable insights through reports, dashboards, and analytics solutions, presenting findings to stakeholders.
• Define and standardize metrics in collaboration with business partners and subject matter experts to facilitate accurate and consistent reporting.
• Troubleshoot technical issues and data-related challenges, ensuring seamless operations and data accuracy.
• Mentor junior analysts and engineers by providing technical guidance, resolving complex issues, and supporting professional development.
• Build productive relationships with vendor and technology partners to optimize systems and identify improvement opportunities.
• Apply statistical methods and analytical techniques to derive business insights, including analysis of geospatial data where applicable.
• Lead advanced analytics initiatives by incorporating external data sources and developing AI/ML use cases that enhance data-driven decision-making.
• Explore and implement innovative AI and machine learning solutions to improve analytics capabilities and business outcomes.

Required & Preferred Skills

Technical Skills

• Advanced knowledge of analytics, reporting, scripting, and ETL/ELT tools and methodologies.
• Strong proficiency in Python and data engineering frameworks/libraries such as PySpark and Pandas.
• Experience with dbt is a plus.
• Strong proficiency in SQL and large-scale data warehouse environments.
• Experience with modern cloud data platforms such as Snowflake and Databricks.
• Proficiency with data visualization tools; Power BI and Sigma preferred.
• Experience developing and orchestrating data pipelines using Airflow.
• Experience working with large and complex datasets from multiple sources.
• Strong understanding of relational databases, data warehousing concepts, and data modeling best practices.
• Experience leveraging AI tools to support data pipeline development and management.

Professional Skills

• Strong understanding of business operations and performance metrics; experience with industry-specific metrics is a plus.
• Ability to communicate technical concepts and analytical findings clearly to non-technical stakeholders.
• Experience leading projects and collaborating effectively across multiple teams and organizational levels.
• Strong analytical, problem-solving, critical-thinking, and project management skills.
• Ability to investigate technical issues deeply and identify practical solutions.
• Capable of managing multiple priorities and projects simultaneously in a fast-paced environment.
• Demonstrated ability to contribute positively to team goals and foster a collaborative environment.
• Experience assessing project data needs and ensuring the quality and integrity of data assets.
• Strong Microsoft Office skills, including advanced Excel, pivot tables, data visualization, and PowerPoint.

Required Qualifications

Education

• Master's degree preferred in Computer Science, Data Science, Statistics, Engineering, or a related field, with relevant business experience.

Experience

• 5-10 years of experience in data engineering, analytics, or related disciplines.
• Advanced SQL programming experience within large-scale data warehouse environments.
• Experience designing and supporting ETL/ELT processes in modern cloud or big data environments such as Snowflake, Databricks, or similar platforms.

Core Technologies

• Python
• SQL
• Snowflake
• Airflow
• PySpark
• Pandas
• Power BI
• Sigma
• Databricks
• AI/ML Technologies

Experience Level

Expert Level

This is a Contract position based out of Newark, NJ.

The pay range for this position is $65.00 - $70.00/hr.

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.

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: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the 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)

This is a hybrid position in Newark,NJ.

This position is anticipated to close on Sep 18, 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

We’re 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. We’re 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. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re 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.