Data Engineer (client-facing)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer (client-facing) in the United States.

This client-facing Data Engineer role offers the chance to guide organizations in unlocking the full potential of their data environments. You will design, implement, and optimize scalable data solutions including ETL pipelines, cloud data warehouses, and business intelligence systems. The role requires translating complex business objectives into technical strategies, collaborating with stakeholders across industries, and providing actionable insights. Ideal candidates thrive in a consultative environment, balancing technical fluency with strong communication skills, and are motivated to solve diverse challenges while supporting long-term data infrastructure and analytics goals. You will work with modern cloud ecosystems, ensure data reliability and performance, and mentor clients and team members on best practices. This position combines problem-solving, innovation, and hands-on engineering with strategic client advisory.

Accountabilities:

• Guide clients on designing and optimizing their data environments to achieve operational efficiency and strategic goals.
• Develop scalable ETL pipelines, data models, and cloud data warehouse solutions.
• Implement and maintain business intelligence reporting tools and analytics platforms (e.g., Looker, Tableau, Power BI).
• Validate, test, and document client data models, transformations, and workflows.
• Teach and advise stakeholders, including developers, data architects, business users, and IT teams, on technical data modeling and engineering concepts.
• Collaborate with project management and sales teams to ensure deliverables meet client objectives and align with organizational priorities.
• Support ongoing maintenance, monitoring, and troubleshooting of client data environments.

• 4–6 years of experience in data engineering or analytics, preferably in client-facing or consulting roles.
• Strong proficiency in SQL, Python, and data pipeline tools (e.g., dbt, Airflow, Streamlit).
• Hands-on experience with cloud platforms such as AWS, Google Cloud (BigQuery, Redshift), and Snowflake.
• Experience with business intelligence tools including Looker, Tableau, or Microsoft Power BI.
• Knowledge of data warehousing, ETL/ELT processes, and performance optimization.
• Familiarity with developer workflows and tools (e.g., Git/GitHub, command-line environments).
• Bachelor’s or Master’s degree in a quantitative or technical field (e.g., Computer Science, Statistics, Operations Research).
• Strong problem-solving, communication, and consultative skills.
• Preferred experience includes working in Media & Entertainment or Telecom, consulting/service organizations, and external client advisory roles.

• Competitive salary range: $95,000–$130,000 (dependent on experience and location).
• Fully remote work within the United States with flexible scheduling.
• Unlimited vacation policy.
• Comprehensive medical, vision, and dental insurance.
• Paid family and medical leave.
• Individual and company bonus programs.
• Remote work stipend.
• 401(k) with company matching.
• Learning and development programs to support professional growth.
• Regular in-person company events and collaborative culture.

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 three 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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