Staff Data Engineer

Altela Inc; New York (NY); Remote; USD 180,000 - 250,000; Full time

Job summary

An established industry player is seeking a Staff Data Engineer to architect and build a next-generation data platform. This role involves designing scalable data solutions that support analytics and machine learning, enabling data-informed decisions and driving product innovation. The ideal candidate will have extensive experience in data engineering, with a strong command of distributed systems and cloud technologies. Join a forward-thinking company that offers competitive compensation, equity grants, and opportunities for professional growth in a fully remote work environment.

Benefits

Competitive compensation

Equity grants

Premium healthcare coverage

Professional development opportunities

Remote work stipend

Qualifications

• 8+ years of data engineering experience with complex data solutions.
• Expertise in distributed systems, data warehousing, and ETL processes.

Responsibilities

• Design and architect scalable data platforms supporting real-time and batch processing.
• Lead development of data pipelines, ETL processes, and data warehousing solutions.

Skills

Data Engineering

SQL

Python

Distributed Systems

ETL Processes

Cloud Technologies (AWS, GCP, Azure)

Tools

Kafka

Flink

Spark Streaming

Job description

Job Title: Staff Data Engineer at Altela Inc

Join to apply for the Staff Data Engineer role at Altela Inc.

Salary: $180,000 to $250,000 plus equity.

Job Brief

Altela, with $20 million in funding, is pushing the boundaries of data-driven innovation. We are seeking a Staff Data Engineer to architect and build our next-generation data platform. As a technical leader, you will design scalable data solutions supporting analytics and machine learning, enabling data-informed decisions and product innovation.

Responsibilities

• Design and architect scalable data platforms supporting real-time and batch processing.
• Lead development of data pipelines, ETL processes, and data warehousing solutions.
• Define and enforce data governance and quality standards.
• Mentor junior data engineers and promote best practices.
• Collaborate with data scientists, analysts, and product managers to deliver solutions.

Qualifications

• 8+ years of data engineering experience with complex data solutions.
• Expertise in distributed systems, data warehousing, and ETL processes.
• Proficiency in SQL, Python, and cloud technologies (AWS, GCP, Azure).

Preferred Skills

• Experience with real-time streaming (Kafka, Flink, Spark Streaming).
• Building data lakes and data meshes.
• Open-source contributions or technical publications.

Benefits

• Competitive compensation and leadership rewards.
• Equity grants aligned with company growth.
• Premium healthcare coverage.
• Professional development opportunities.
• Remote work stipend.

Additional Details

Location: 100% Remote in the United States. Candidates must be authorized to work in the U.S. (no visa sponsorship available).
Experience required: 8+ years.
Employment type: Full-time.
Industry: IT, Water, and Waste Management.