Slalom Flex (Project Based)- Data Vault Data Engineer

Slalom Build; Northern (KY); Hybrid; USD 110,000 - 138,000; Part time

Benefits offered by this job

Time off & holidays

401(k) with match

Health, dental, and vision

Adoption and fertility assistance

Long-term disability

Well-being reimbursement

Job summary

Slalom is seeking Data Engineers and Senior Data Engineers to support the development of a greenfield data platform, assessing workloads, resolving delivery challenges, and moving priority solutions into production.

The role emphasizes hands-on work with Databricks and dbt Cloud, building reliable, scalable pipelines, and thriving in a fast-paced, client-facing environment.

Qualifications

• Hands-on experience designing and delivering modern data engineering solutions.
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Skills

Databricks

dbt Cloud

SQL

data pipelines

ETL/ELT

data modeling

cloud data platforms

Qlik Replicate

CDC

consulting

stakeholder communication

Job description

Location: Remote, aligned to Mountain Time working hours
Employment Type: Project-based contract
Start Date: September 14, 2026
Duration: Through December 2026, with potential extension into 2027

About Us

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.

Overview

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.

What You’ll Bring

• Professional experience designing and delivering modern data engineering solutions.
• Strong hands-on experience with Databricks.
• Strong hands-on experience with dbt Cloud.
• 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.

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 includemeaningful 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.

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