Data Engineer Consultant (Remote - US) - job 1 of 2

This position is posted by Jobgether on behalf of DAS42 | Data & Analytics Consultancy. We are currently looking for a Data Engineer Consultant in the United States.

This role offers an exciting opportunity to work as a strategic and technically proficient data engineer consultant, helping clients unlock the full value of their data. You will design and implement scalable data solutions, including data models, ETL pipelines, and cloud data warehouses, while advising diverse clients on optimizing their data environments. This client-facing role requires strong technical skills, problem-solving abilities, and the capacity to communicate complex concepts clearly to both technical and non-technical audiences. You will contribute to long-term data infrastructure and support business objectives across industries in a flexible, remote work environment.

Accountabilities:

• Guide clients in optimizing their data environments for efficiency and effectiveness.
• Develop system engineering, integrations, and architectures tailored to client needs.
• Implement and advise on data warehouse solutions, ETL pipelines, and BI reporting tools.
• Design and validate data models aligned with client KPIs and data transformations.
• Teach technical data modeling concepts to developers, architects, business users, and IT professionals.
• Support, maintain, and document client data environments.
• Operate within project management frameworks to meet objectives and understand impact.
• Collaborate with Sales and Marketing teams to promote thought leadership and client engagement.

• Bachelor’s or Master’s degree in a quantitative or technical field (e.g., Statistics, Computer Science, Engineering).
• 3 to 4 years of experience in data analytics or data engineering roles.
• Strong passion for problem-solving and learning new technical information quickly.
• Experience with developer tools/workflows (git/github, SSH, command line).
• Familiarity with project management software (Basecamp, JIRA, ASANA).
• Experience with cloud platforms such as AWS and Google Cloud (BigQuery, Redshift).
• Proficiency with BI tools like Looker, Tableau, or Microsoft Power BI.
• Experience with data warehousing and Snowflake platform.
• Ability to optimize database and query performance.
• Skilled in scripting languages (Python, R, Perl, bash) and advanced SQL.
• Prior consulting/services experience preferred.
• Experience working with Media & Entertainment or Telecom sectors preferred.

• Competitive salary range of $100,000 to $130,000, depending on experience and location.
• Unlimited vacation policy.
• Comprehensive medical, dental, and vision insurance.
• Paid family and medical leave.
• Individual and company bonus programs.
• Regular in-person company events.
• Flexible work policy with remote work stipend.
• 401(k) retirement plan with matching contributions.
• Learning and development programs to support continuous growth.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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