Largeton Group

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a long-term contract, hybrid in "Merrimack, NH" or "Durham, NC." Pay rate is competitive. Requires strong financial domain experience, expertise in Oracle PL/SQL, SQL scripting, ETL, and data warehousing technologies.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 1, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Durham, NC
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🧠 - Skills detailed
#AWS (Amazon Web Services) #Scrum #Maven #Data Pipeline #GIT #Jenkins #"ETL (Extract #Transform #Load)" #Data Processing #Java #Scripting #EDW (Enterprise Data Warehouse) #Data Quality #Data Warehouse #Docker #Database Performance #Data Mart #Data Analysis #Scala #Data Engineering #Kanban #Oracle #Microservices #REST API #Agile #Informatica #Snowflake #SQL (Structured Query Language) #Cloud #Data Modeling #DevOps #REST (Representational State Transfer) #Python
Role description
Job Title: Senior Data Engineer Location: Merrimack, NH OR Durham, NC Work Mode: Hybrid (Onsite every alternate week Monday to Friday) Duration: Long-Term Contract Important Notes • Must be open to alternate week onsite (5 days/week onsite every other week) • Only local or nearby candidates preferred (no relocation) • Strong financial domain experience preferred Role Overview We are seeking a highly skilled Senior Data Engineer to join Fidelity s Asset Management Technology (AMT) team. This role focuses on building scalable, high-performance data solutions supporting investment management platforms, including mutual funds and ETFs. The ideal candidate will have strong expertise in Oracle PL/SQL, SQL scripting, ETL processes, and modern data warehousing technologies, along with the ability to work in a fast-paced, Agile-driven environment. Key Responsibilities Data Engineering & Development • Design, develop, and maintain scalable data pipelines and data solutions • Build high-quality, efficient, and reliable data processing systems • Develop and optimize Oracle PL/SQL code and SQL scripts ETL & Data Warehousing • Work with ETL tools like Informatica • Develop and manage data workflows in Snowflake Data Warehouse • Ensure data quality, integrity, and consistency Data Modeling & Analysis • Design data models using: • Transactional systems • Data marts • Enterprise data warehouses • Perform quantitative and multidimensional data analysis • Identify data gaps, patterns, and optimization opportunities Performance Optimization • Tune database performance and optimize queries • Improve data processing efficiency and scalability Cloud & Modernization • Work with cloud technologies (AWS preferred) • Support modernization initiatives using: • APIs • Java-based applications DevOps & Agile Practices • Follow CI/CD processes using: • Git • Jenkins • Maven • Docker • Participate in Agile methodologies (Scrum / Kanban) • Collaborate with cross-functional teams Experience Required Qualifications • Strong experience as a Data Engineer in financial services domain • Proven experience building enterprise-scale data engineering solutions Technical Skills • Expertise in: • Oracle PL/SQL • SQL scripting • Database performance tuning • Strong knowledge of: • ETL tools (Informatica) • Data warehousing (Snowflake) • Strong data modeling experience • Understanding of: • Data marts • Data warehouses • Transactional systems Additional Skills (Nice To Have) • Python • Java • REST APIs • AWS / Cloud technologies • Microservices exposure Soft Skills • Strong analytical and problem-solving skills • Ability to work independently and in team environments • Excellent communication skills (written & verbal) Team Overview The Asset Management Technology (AMT) team supports: • Investment management • Trading • Research • Investment operations They Manage a Multi-terabyte Data Platform Used For • Mutual funds • ETFs • Strategic advisor products This platform directly supports high-value financial decision-making impacting billions of dollars in investments