Data Engineer, Splunk & Snowflake

Das ist der Job

Experience developing large-scale distributed data applications using Spark and Kafka is highly preferred.

Darum lohnt es sich

Manage and optimize data models within modern Data Lakes and cloud data warehouses. Collaborate with cross-functional teams to understand data needs and translate them into scalable solutions . Pay and Benefits The pay range for this position is $75.00 - $80.00/hr.

Eligibility requirements apply to some benefits and may depend on your jobclassification and length of employment. Benefits are subject to change and may besubject to specific elections, plan, or program terms.

If eligible, the benefitsavailable 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) Workplace Type This is a hybrid position in Sunnyvale,CA.

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. 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.

AI helps assess applications and qualifications, but final decisions are made by our hiring team. We are seeking a talented Data Engineer to design, build, and maintain scalable data solutions that transform operational and customer interaction data into actionable business insights.

This role focuses on developing enterprise-scale data pipelines, optimizing cloud-based data platforms, and enabling data-driven decision-making across the organization.

The ideal candidate will have strong expertise in Splunk, Snowflake, and ETL/ELT development, with experience building data pipelines that ingest, transform, and deliver data from Splunk into Snowflake and Data Lake environments.

Successful candidates will have a proven track record of delivering scalable, high-performance data solutions that support analytics, reporting, and business intelligence initiatives. Responsibilities Architect, construct, and maintain robust, scalable data pipelines and complex ETL workflows.

Administer operational monitoring, log analytics, and troubleshooting of data infrastructure. Minimum Qualifications 3-5 years of experience in Data Engineering. Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Deep experience with Splunk, including data handling, building dashboards, and developing ETL processes to move data from Splunk into data warehouses. Experience building ETL pipelines and implementing Business Intelligence (BI) concepts on Cloud data warehouses (e.g., Snowflake).

Experience with Data Lake technologies (specifically Apache Iceberg). Experience developing highly optimized SQL queries, stored procedures, and semantic processes for distributed data applications. Preferred Qualifications 5 or more years of experience building enterprise-level data applications on distributed systems.

Experience developing Big Data applications using Spark and Kafka. Solid understanding of the fundamentals of object-oriented design, data structures, algorithm design, and problem-solving. Experience with analytics and data visualization tools such as Tableau and Streamlit.

Working experience generating and visualizing data insights, metrics, and KPIs, as well as using basic ML models for anomaly detection, forecasting, and GenAI. Job Type & Location This is a Contract position based out of Sunnyvale, CA.

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. Application Deadline This position is anticipated to close on Aug 31, 2026.

About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. 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 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 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. By applying, you acknowledge and agree that your application may be reviewed using AI tools.