AbInitio Developer with AWS - Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Ab-Initio Developer with AWS, offering a 12-month remote contract. Candidates should have 5+ years of Ab Initio experience, 2-3 years with AWS, and knowledge of SQL or Python. Health insurance industry experience is a plus.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 14, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Herndon, VA
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🧠 - Skills detailed
#Database Design #Kubernetes #PostgreSQL #Scala #AWS (Amazon Web Services) #Migration #Data Engineering #Redshift #"ETL (Extract #Transform #Load)" #Python #Spark (Apache Spark) #Data Ingestion #NoSQL #Apache Hive #Cloud #Cloudera #Data Processing #Ab Initio #Hadoop #Programming #SQL (Structured Query Language) #Data Analysis #Aurora
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, nTech Solutions, is seeking the following. Apply via Dice today! Title: Ab-Initio Developer with AWS Location: Reston, VA (Remote) Duration: 12 Months Contract + Extension Job Description: Terms of Employment: 12-month contract with a possible extension. This position is 100% remote with 2-4 onsite visits a year. Candidates based in Maryland, Washington, DC, or Virginia are preferred. On-site travel for team events and design sessions may be required once or twice a year. This role requires the candidate to be available for an on-call rotation, although instances are rare. Overview and Key Responsibilities: We are seeking a dedicated Senior Data Engineer to join our client's Enterprise Data Platform team. This is a hands-on role where you will be instrumental in a major technology migration, ingesting and curating data from multiple sources. The team is responsible for bringing in data from various sources, curating it, and ensuring its successful consumption. You will play a key role in the transition from an existing Cloudera platform to a modern AWS ecosystem. We are looking for a self-starter with a strong background in Ab Initio and significant expertise in the AWS tech stack, particularly with services like EKS and Redshift. The ideal candidate will be hands-on, able to contribute to design discussions, and work effectively in a team-oriented environment. Key Responsibilities include: Develop and maintain data ingestion and processing pipelines using Ab Initio. Actively participate in the migration of data platforms from Cloudera to the AWS tech stack. Design and build solutions using AWS services such as Aurora, Redshift, and AWS EKS (Kubernetes). Work closely with data analysts to understand requirements and support infrastructure upgrades. Contribute to standard ETL and data processing activities that support the organization s data products. Provide support during an on-call rotation to handle escalated issues. Collaborate with team members on design aspects and in a team-oriented environment. Required Qualifications: Bachelor's Degree 5+ years of extensive experience in Ab Initio development, including Change Data Capture (CDC). Experience With The Ab Initio Version 4.2.3 Is Preferred. 2-3 years of hands-on experience with the AWS tech stack. Experience with AWS EKS is highly preferred and will be given more weight than Cloudera experience. Strong knowledge of at least one programming language, such as SQL, NoSQL, or Python. Solid understanding of database design and implementation concepts. Hands-on experience with Cloudera Hadoop is a plus. Ability to work collaboratively in a team and contribute to design aspects as needed. Preferred Qualifications: Experience in the health insurance industry is a plus but not a constraint. Working knowledge of Apache Hive. Experience with the Hadoop ecosystem, including Hive, Spark, and Spark Streaming. Proficiency in PostgreSQL. Sincerely, Preetam Raj Lead Technical Recruiter nTech Workforce Inc. D: EXT: 726 E: