LHH

Data Engineer II

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer II, 100% remote, with a contract length of unspecified duration, offering a pay rate of “competitive”. Requires 5+ years in Data Engineering, proficiency in Python, SQL, AWS services, and experience with Agile methodologies.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
March 26, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Yes
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Programming #Security #SQL (Structured Query Language) #S3 (Amazon Simple Storage Service) #Redshift #Athena #Scrum #Data Engineering #Scala #Talend #Data Pipeline #Java #Computer Science #Cloud #Monitoring #Lambda (AWS Lambda) #Terraform #Data Modeling #Data Lake #Deployment #Datasets #Informatica #PySpark #Agile #"ETL (Extract #Transform #Load)" #AWS Glue #Airflow #Batch #DynamoDB #Python #AWS (Amazon Web Services) #Apache Airflow #Spark (Apache Spark)
Role description
Data Engineer II 100% Remote Overview As a Data Engineer II, you will work on data systems and services alongside other data engineers to deliver projects and platforms critical to the Platform Ventures business. This role requires versatility, strong collaboration skills, and a willingness to take ownership of complex data challenges as the organization continues to scale and innovate. Responsibilities • Contribute to the design, build, testing, scaling, and maintenance of data pipelines from a variety of source systems and streams, including internal, third‑party, and cloud‑based sources, in alignment with business and technical requirements • Continuously improve the codebase and actively participate in all aspects of team operations, including Agile ceremonies • Collaborate with engineers and product managers to understand data requirements and translate them into scalable solutions • Participate in Agile ceremonies such as stand‑ups, retrospectives, and sprint planning • Troubleshoot and resolve production issues as they arise Qualifications • Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience • 5+ years of hands‑on experience in Data Engineering, including building data pipelines, orchestration, data modeling, and data lake architectures • Programming experience in one or more of the following: Python, Java, or Scala, along with strong SQL skills and the ability to write reusable and efficient code to automate data processes • Experience with data warehousing concepts, including relational and dimensional data modeling • Strong experience working with diverse data sources such as APIs, real‑time feeds, and structured and semi‑structured file formats • Experience processing large datasets and building pipelines using AWS Glue, Apache Airflow or Amazon MWAA, SQL, Python, and PySpark • Experience developing near real‑time and batch data pipelines • Experience with AWS data services including S3, Redshift, and DynamoDB, along with related tools such as Athena, EMR, Glue, and Lambda • Experience working in an Agile or Scrum environment Desired Characteristics • Familiarity with software build, release, deployment, and monitoring tools and best practices • Experience with Talend, Informatica, or other commercial ETL tools • Experience working with Terraform • Strong background in Test‑Driven Development and an understanding of appropriate testing levels required for continuous delivery • Team‑oriented and collaborative mindset with a demonstrated willingness to learn new tools, technologies, and practices • Ability to work effectively across teams, disciplines, and organizational levels “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”