Data Engineers

Slalom, LLC
Houston, TX, United States
13 days ago
Apply on www.careerbuilder.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$166,400.0 - $208,000.0
Working hours
Regular working hours

Tech stack

Cloud Computing Cloud Database Data Architecture Information Engineering Extract Transform Load (ETL) Data Transformation Data Vault Modeling Cloud Services Software Deployment SQL Databases Data Ingestion Sql Optimization
+4 more
Change Data Capture Qlikview Data Pipelines Databricks

Job description

We are seeking Data Engineers and Senior Data Engineers to support the development of a greenfield data platform. This role will assess current data engineering workloads, resolve delivery challenges, and move priority solutions into production.

The ideal candidate has strong hands-on experience with Databricks and dbt Cloud, can build reliable and scalable data pipelines, and is comfortable operating in a fast-paced, client-facing environment.

What You’ll do

  • Assess existing data engineering workloads and identify technical or delivery issues.
  • Design, build, test, deploy, and support data pipelines using Databricks and dbt Cloud.
  • Remediate pipeline, workload, and production-readiness challenges.
  • Move priority data workloads into production with a focus on reliability, scalability, and maintainability.
  • Contribute to data architecture, data modeling, testing, and deployment decisions.
  • Partner with solution leadership, senior stakeholders, and other engineers to establish sustainable engineering and delivery practices.
  • Communicate technical risks, recommendations, and progress clearly to technical and non-technical stakeholders.
  • Work collaboratively as part of a cohesive, outcomes-focused delivery team.

Requirements

  • Professional experience designing and delivering modern data engineering solutions.
  • Strong hands-on experience with Databricks.
  • Strong hands-on experience with dbt Cloud.
  • Data Vault experience
  • Advanced SQL skills and experience developing production-grade data pipelines.
  • Experience with data transformation, data modeling, and ETL/ELT processes.
  • Ability to assess existing workloads, troubleshoot delivery issues, and implement practical solutions.
  • Experience working in consulting, client-facing, or complex delivery environments.
  • Strong communication, collaboration, adaptability, and problem-solving skills.
  • Ability to work remotely during Mountain Time business hours.

Preferred Qualifications

  • Experience with Qlik Replicate or similar data ingestion tools.
  • Experience implementing Change Data Capture (CDC) solutions.
  • Experience contributing to greenfield data platform builds or cloud data modernization initiatives.
  • Familiarity with data quality, testing, monitoring, and deployment best practices.

Key Skills

Databricks, dbt Cloud, SQL, data pipelines, ETL/ELT, data modeling, cloud data platforms, Qlik Replicate, CDC, consulting, and stakeholder communication.

Benefits & conditions

Compensation and Benefits

Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses.

Slalom is committed to fair and equitable compensation practices. For this position, the base salary pay range is 80-100/hr. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.

EEO and Accommodations

Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration

for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements.

Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the

selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

About the company

Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six+ countries and 43+ markets, we deeply understand our customers-and their customers-to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 10,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We’re honored to be consistently recognized as a great place to work, including being one of Fortune’s 100 Best Companies to Work For seven years running. Learn more at Slalom.com.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerbuilder.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

47 sec

Building modern data pipelines for legacy exports

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · World Congress 2025

2:50 min

Executing LoRA fine-tuning using serverless Databricks AI runtimes

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

1:36 min

Evolution from key-value stores to distributed SQL

Wei Hu Wei Hu · World Congress 2025

Videos

See all

Related articles

See all