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Etl Developer Remote Jobs in New York (NOW HIRING)

Architect AI-centric ETL pipelines for data lakehouses that make large-scale analytics possible for ... Candidates must be willing and able to work in-office full-time. Fully remote arrangements are not ...

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Location: Remote Project Duration: 6-12 months Responsibilities: * Analysis, design ... Evaluation, maintenance, and enhancement of existing ETL processes. * Creation of BI dashboards and ...

Data Engineer II

New York, NY · Remote

$120K - $140K/yr

The Data Engineering Team is responsible for building the data infrastructure that underpins our ... Build and maintain company's ETL and data pipelines * Design and implement data testing and scaling ...

Data Engineer (Azure / Spark)

New York, NY · Remote

$56.25 - $69.75/hr

Hands-on experience building and orchestrating ETL pipelines. * HDInsight: Deploying and managing ... Strong coding background for Spark job development and functional programming. * Apache Spark:

Required Qualifications: * 8+ years of experience in Data Integration / ETL Development . * 5+ years of hands-on experience with SAP BusinessObjects Data Services (BODS) . * Strong expertise in ETL ...

EDI Data Engineer (Healthcare Domain)

New York, NY · Remote

$117K - $140K/yr

NYC, NY & Canada (Remote) Job Type: Contract Note: Need minimum 10+ years experience and recent ... Data lakes (Iceberg format), ETL (Informatica), and data quality * AWS services: S3, Glue, Redshift ...

Data & AI Engineer

New York, NY · Remote

$100K - $125K/yr

Headquartered in the heart of New York City, we also welcome remote employees across the United ... Design, build, and manage ETL pipelines integrating Omeda, Salesforce, Google Analytics, and third ...

This role will be hybrid, not remote. YOUR DAILY IMPACT AT PELOTON * Lead the DataOps function ... Drive adoption of data engineering standards, ETL best practices, documentation requirements, and ...

Job Requirements - * 6+ years of software testing experience in quality engineering, quality assurance or a similar role mainly in ETL, Data and Hadoop testing. * Bamboo, and Github experience ...

While this is a remote-first opportunity, the candidate filling this role must be a resident of ... Design, build, and maintain robust, scalable ETL/ELT pipelines that reliably deliver clean data to ...

Stamford, CT/Remote Job Type: Long Term Contract Mandatory Skill: Dataiku Engineering experience ... Solid understanding of ETL/ELT, data modeling, and SQL. * Hands-on expertise with the Azure data ...

Showing results 41-60

Etl Developer Remote information

What is an ETL developer?

ETL Developers are IT professionals who design, implement, and maintain systems for extracting, transforming, and loading data from various sources into a centralized data warehouse or database. They work with different data formats and tools to ensure data is accurately and efficiently processed for business intelligence and analytics. Remote ETL Developers perform these tasks from a location outside the employer’s office, using collaboration tools and secure connections to manage data workflows.

How to become an ETL developer who works remotely?

The minimum qualifications for an ETL developer include a bachelor’s degree in software engineering, computer science, or a related field. Strong communication skills are important to relay issues that require attention accurately. Experience with NoSQL databases and PL/SQL development is beneficial. It is also helpful to have experience retrieving data from multiple data source types, interfacing with business users, and using dimensional modeling. You can stand out above other candidates if you have experience with Hadoop components, including HBase, Sqoop, HDFS, Hive, and Spark, experience with .NET or Java, and knowledge of SSAS, OLAP, and MDX.

What are the key skills and qualifications needed to thrive as a remote ETL developer?

To excel as a Remote ETL Developer, you need strong expertise in data warehousing, ETL processes, and proficiency in SQL, often supported by a degree in computer science or a related field. Familiarity with ETL tools like Informatica, Talend, or SSIS, as well as experience with cloud platforms and database technologies, is typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for collaborating with distributed teams and troubleshooting data issues. These competencies ensure accurate, efficient data integration and support critical business intelligence initiatives in a remote work environment.

How do ETL developers working remotely typically collaborate with data engineers and analysts to ensure data quality and project success?

Remote ETL Developers usually collaborate closely with data engineers and analysts through virtual meetings, shared project management tools, and version-controlled code repositories. Regular stand-ups and agile sprints help align team members on data requirements, transformation logic, and delivery timelines. Effective communication and thorough documentation are crucial to address data quality issues promptly and to ensure that business objectives are met. Most teams rely on platforms like Slack, Jira, and GitHub to maintain transparency and streamline workflow across different locations.

What are the most commonly searched types of Etl Developer jobs in New York?

The most popular types of Etl Developer jobs in New York are:

What job categories do people searching Etl Developer Remote jobs in New York look for?

The top searched job categories for Etl Developer Remote jobs in New York are:

Infographic showing various Etl Developer Remote job openings in New York as of August 2026, with employment types broken down into 68% Full Time, 18% Part Time, and 14% Contract. Highlights an 100% Remote job distribution.

Senior Software Engineer, Platform

Clera

New York, NY • Remote

$200K - $350K/yr

Full-time

Re-posted 9 days ago


Job description

About the Role

We're a fast-growing, well-funded AI-native analytics company (Series A/B equivalent) building an agentic data lakehouse that delivers trustworthy answers from messy enterprise data. Our platform helps organizations in highly regulated industries — including financial services and healthcare — query and reason over complex data using natural language, without heavy schema migrations or data movement.

As a Senior Software Engineer, Platform, you'll join the platform team shaping the data foundation that powers AI-driven analytics at scale. This is a zero-to-one, high-ownership role at a ~40-person company with strong investor backing and notable enterprise customers.

What You'll Do
  • Agentic Semantic Layer: Build the system that gives AI agents the context to query enterprise data correctly and the guardrails to prove their results — making AI-generated analytics something teams can actually stake decisions on.

  • Distributed Agent Orchestration: Design and implement orchestration systems for agents that interact with the real world — including API integrations, rate limiting, OAuth passthrough, model routing, scheduling, and token optimization.

  • Agentic Data Engineering: Architect AI-centric ETL pipelines for data lakehouses that make large-scale analytics possible for organizations with little to no dedicated data engineering resources.

What We're Looking For

Required:

  • 4+ years of practical experience as a backend or platform engineer building scalable distributed systems

  • Strong proficiency in Golang, with the ability to contribute across infrastructure, services, or frontend as needed

  • Hands-on experience with gRPC/ConnectRPC, Trino, Kubernetes, DuckDB, and PostgreSQL in a distributed data platform environment

  • Experience designing or implementing ETL pipelines, data modeling, or schema design for data platforms

  • Experience building orchestration systems for distributed agents (API integrations, rate limiting, OAuth, model routing, scheduling, or token optimization)

  • Prior experience at an early-stage startup, ideally building products from zero to one

  • Bachelor's degree in Computer Science, Software Engineering, or comparable professional experience

  • Strong CS fundamentals

Nice to Have:

  • Experience with data visualization tools or big data technologies (Spark, Hadoop, or similar)

  • Background at a VC-backed startup

Compensation & Benefits
  • Salary: $200,000 – $350,000 USD annually (depending on experience)

  • Equity participation

  • Visa sponsorship is available

Location

This role is on-site in New York City, NY. Candidates must be willing and able to work in-office full-time. Fully remote arrangements are not available for this position.