Data Engineer II (Remote - US) - job 1 of 9

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer II in United States.

This role offers the opportunity to contribute to the design, development, and implementation of enterprise-scale data solutions in a dynamic and collaborative environment. You will work closely with cross-functional teams to deliver high-quality data pipelines, ETL processes, and analytical solutions that support business stakeholders. Your work will ensure operational availability, data accuracy, and compliance with governance standards. This position requires problem-solving skills, attention to detail, and the ability to manage multiple projects simultaneously while maintaining strong communication with technical and business teams. You will play a key role in enhancing data quality, developing workflows, and supporting complex analytics initiatives that directly impact organizational decision-making.

Accountabilities:

The Data Engineer II will support and maintain enterprise data solutions while ensuring high-quality standards:

• Develop, test, and deliver robust data solutions and ETL processes in collaboration with interdisciplinary teams.
• Analyze and transform data, applying business rules and data quality metrics to support accurate reporting.
• Quantify and qualify reported data quality issues, reporting program metrics to track progress and compliance.
• Lead efforts to optimize data workflows, ensuring consistency, scalability, and operational efficiency.
• Apply discretion to solve complex problems, adjust work methods, and innovate within established procedures.
• Collaborate with stakeholders, SMEs, and data modelers to facilitate discussions and ensure alignment on data strategies.
• Perform other job duties as requested to support team and organizational objectives.

Candidates should have proven technical expertise and experience in data engineering:

• Bachelor’s degree in Computer Science, Information Systems, or related field, or equivalent relevant work experience.
• Minimum 3 years of experience designing and developing ETL, BI, or analytical solutions.
• Demonstrable experience across all stages of data solution lifecycle: definition, design, implementation, testing, and deployment.
• Proficiency in Azure DataBricks, Azure Data Factory, Python, PySpark, and complex SQL queries.
• Experience developing data quality profiling and metadata analysis processes.
• Solid understanding of data management, governance, and relational database theory.
• Ability to manage multiple medium- to large-scale projects with a sense of urgency.
• Strong problem-solving skills, attention to detail, and effective interpersonal communication.
• Ability to prioritize and execute tasks independently and collaboratively in a team-oriented environment.
• Customer service-oriented mindset and collaborative approach to stakeholder engagement.

• Competitive salary range: $70,800 – $113,200 annually.
• Eligibility for performance-based bonuses tied to individual and company results.
• Comprehensive health, dental, and vision coverage.
• Opportunities for professional development and skill-building in a collaborative environment.
• Supportive, inclusive, and mission-driven company culture focused on making a meaningful impact.
• Flexible work environment that encourages work-life balance.

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!

#LI-CL1