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Api Data Engineer Jobs (NOW HIRING)

API Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

API Data Engineer Location : New York, NY or Fort Mill, SC Hybrid Job Responsibilities: * 10+ years of experience in software/data engineering, API development, or cloud platform engineering * Work ...

API Data Vulnerability Engineer

Troy, MI · On-site

$107K - $128K/yr

API Data Vulnerability Engineer We are seeking a Senior Engineer (Cyber, Data & Security) with 6 to 8 years of experience to join our Threat & Vulnerability Management (TVM) team. The ideal candidate ...

This position coordinates closely with developers, product teams, cybersecurity personnel, cloud ... Duties & Responsibilities The API / Data Architect will: * Design enterprise API architecture ...

API & Data Engineer II

Fort Mill, SC · On-site

$40.10 - $66.83/hr

Joining as a Data Engineer II, you will be responsible for building and maintaining the sustainable ... Implement API and Microservices patterns using API Gateway and AWS Lambda. * Integrate with AWS ...

Joining as a Data Engineer II, you will be responsible for building and maintaining the sustainable ... Implement API and Microservices patterns using API Gateway and AWS Lambda. * Integrate with AWS ...

API & Data Engineer II

Fort Mill, SC · On-site

$40.10 - $66.83/hr

Joining as a Data Engineer II, you will be responsible for building and maintaining the sustainable ... Implement API and Microservices patterns using API Gateway and AWS Lambda. * Integrate with AWS ...

Joining as a Data Engineer II, you will be responsible for building and maintaining the sustainable ... Implement API and Microservices patterns using API Gateway and AWS Lambda. * Integrate with AWS ...

Data Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineer Dearborn, MI Hybrid 4days onsite and 1 day remote W2 Position Description: Ford Motor ... Design and maintain ETL pipelines and API integrations (REST/SOAP) * Translate union contracts ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

The Data Engineer will provide hands-on technical support to strengthen data automation ... Experience designing API-driven workflow automations and data pipelines. * Strong understanding of ...

Data Engineer II

$117K - $140K/yr

Required : • Proven experience as a Data Engineer, with a strong focus on API integration and database management. • Experience building data pipelines for API data ingestion, including handling ...

Cloud Data Engineer

Dallas, TX · On-site

$55.25 - $73/hr

Omni's Cloud Data Engineer specializing in Microsoft Fabric is responsible for designing, building ... for API data sources, Fabric Pipeline. Responsibilities: * Contribute to Omni's Modern data ...

NY · On-site

$125 - $150/hr

The role involves developing, maintaining, and optimizing data integration pipelines, API services ... Bachelor's degree in Computer Science, Data Engineering, or a related field OR a minimum of 5 years ...

Data Engineer

Miami, FL · On-site

$100 - $125/hr

The role involves developing, maintaining, and optimizing data integration pipelines, API services ... Bachelor's degree in Computer Science, Data Engineering, or a related field OR a minimum of 5 years ...

Data Engineer

Westlake, TX · On-site

$60/hr

Data Engineer Target Pay Rate: Maximum USD $60.00/hr C2C * Location: Westlake, TX * Work Mode ... API Expertise: Proven, deep experience in API development, integration, and API management tools.

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Api Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do api data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for api data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is an API data engineer?

API Data Engineers are professionals who design, develop, and maintain systems that enable data to be accessed, transferred, or integrated via Application Programming Interfaces (APIs). They focus on building scalable and reliable data pipelines that connect different applications or services, ensuring smooth data flow and quality. Their work involves both backend engineering and a deep understanding of data structures, often collaborating with data scientists, analysts, and software developers to support business and analytics needs.

What are the key skills and qualifications needed to thrive as an API data engineer, and why are they important?

To thrive as an API Data Engineer, you need strong programming skills (often in Python, Java, or Node.js), expertise in data modeling, and experience with designing and managing APIs, typically supported by a degree in computer science or a related field. Familiarity with RESTful and GraphQL APIs, cloud platforms (such as AWS or Azure), and tools like Postman or Swagger, along with relevant certifications, is highly valuable. Excellent problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and translate requirements into scalable data solutions. These skills ensure efficient integration, reliable data pipelines, and robust API performance, which are crucial for modern data-driven applications.

What are some common challenges faced by API data engineers when integrating data from multiple sources?

API Data Engineers often encounter challenges such as data inconsistency, varying data formats, and differing authentication protocols when integrating data from multiple APIs. Managing rate limits, ensuring data quality, and maintaining data security during transfers are also frequent hurdles. To overcome these, engineers typically implement robust error handling, data validation routines, and use middleware or integration platforms to streamline data ingestion workflows.

What cities are hiring for Api Data Engineer jobs?

Cities with the most Api Data Engineer job openings:

What are popular job titles related to Api Data Engineer jobs?

For Api Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Api Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

API Data Engineer

Manhattan, NY • On-site

Incedo Inc
IT Services • 1 - 5K employees

$126K - $151K/yr

Other

Posted 5 days ago


Job description

Role: API Data Engineer 

Location : New York, NY or Fort Mill, SC Hybrid

Job Responsibilities: 

  • 10+ years of experience in software/data engineering, API development, or cloud platform engineering 

  • Work with development teams and stakeholders to deliver technical solutions that enable business capabilities 

  • Design and develop data applications using big data technologies (AWS, Spark) to ingest, process, and analyze large disparate datasets 

  • Build robust data pipelines on the cloud using AWS Glue, Confluent Kafka, Aurora Postgres, EKS, PySpark, Lambda, and Snowflake 

  • Build REST-based data APIs using Python/C#, EKS, and Lambda 

  • Build infrastructure for optimal ETL from various data sources using SQL and AWS big data technologies 

  • Work with data and analytics experts to improve functionality in data systems 

  • Implement architectures to handle large-scale data and its organization 

  • Execute data design and architecture strategies aligned with enterprise standards 

  • Deliver reference architectures outlining principles and best practices for technology advancement 

  • Design and maintain Terraform-based infrastructure using modular patterns, private module registries, and multi-environment state management 

  • Build and maintain GitHub Actions, Octopus , Liquibase CI/CD pipelines for API, data, and infrastructure delivery — including PR validation, Terraform plan gates, and environment promotion 

  • Implement reusable GitHub workflow patterns and integrate with enterprise DevSecOps shared workflows for build, test, deploy, and rollback 

  • Instrument services with Dynatrace for distributed tracing, metrics, and production observability on Lambda and containerized workloads 

  • Define monitoring, alerting, and SLOs in Dynatrace; use APM data for performance tuning, incident response, and reliability improvements