Data Engineer II - Contract to Hire

Data Engineer II Location: 100% Remote Compensation: $50–$75/hr Job Type: Contract About the Opportunity We’re partnering with an organization seeking a Data Engineer II to join a growing team focused on building and supporting critical data systems and services. This role is ideal for someone who enjoys working across data pipelines, orchestration, cloud platforms, and large-scale datasets in a collaborative Agile environment. You’ll work alongside other engineers and cross-functional stakeholders to design, build, maintain, and improve data solutions that support business-critical initiatives. What You’ll Do Data Pipeline Development • Contribute to the design, build, testing, scaling, and maintenance of data pipelines from a variety of source systems, including internal, third-party, and cloud-based sources • Support both batch and near real-time data pipeline development • Help ensure reliable and scalable movement of data across systems Data Engineering & Modeling • Build and support data solutions involving data modeling, orchestration, and data lake concepts • Work with structured and semi-structured data formats, APIs, and real-time feeds • Develop reusable, efficient code to automate and streamline data processes Cloud Data Platform Support • Work within AWS-based data environments, including tools such as: • S3 • Redshift • DynamoDB • Athena • EMR • Glue • Lambda • Support large-scale data processing using Python, SQL, and PySpark Collaboration & Agile Delivery • Partner with engineers and product managers to understand business and technical data needs • Participate actively in Agile ceremonies including standups, retrospectives, and sprint planning • Collaborate on code quality, system improvement, and successful project delivery Troubleshooting & Continuous Improvement • Troubleshoot and resolve production issues as they arise • Continuously improve the codebase and engineering best practices • Support scalable, maintainable solutions across the team’s data ecosystem What We’re Looking For Must-Have Experience • 5+ years of experience in Data Engineering • Strong experience with: • Data pipelines • Data orchestration • Data modeling • Data lake environments • Proficiency in one or more of the following: • Python • Java • Scala • SQL • Experience processing large datasets using tools such as: • AWS Glue • Apache Airflow / Amazon MWAA • PySpark • Experience with AWS data services, especially S3 and Redshift • Familiarity with APIs, real-time feeds, and structured/semi-structured data sources • Experience working in an Agile/Scrum environment Preferred Qualifications • Experience with ETL tools such as Talend or Informatica • Familiarity with Terraform • Understanding of software build, release, deployment, and monitoring practices • Strong background in test-driven development • Collaborative mindset and willingness to learn new tools and methods Why This Role Stands Out • Fully remote opportunity • Strong technical environment with modern AWS data tooling • Opportunity to work on high-impact data initiatives • Collaborative team setting with exposure to scalable cloud data architecture “Benefit offerings include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits, and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria.” “Equal Opportunity Employer/Veterans/Disabled To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: • The California Fair Chance Act • Los Angeles City Fair Chance Ordinance • Los Angeles County Fair Chance Ordinance for Employers • San Francisco Fair Chance Ordinance”