Senior Data Developer

Axelon

IRVING, TX

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JOB DETAILS

SALARY

$66–$70 Per Hour

SKILLS

Amazon Relational Database Service (RDS), Analysis Skills, Android, Apple iPhone, Banking Services, Best Practices, Cloud Computing, Computer Science, Data Management, Data Migration, Data Modeling, Data Modeling Tools, Data Processing, Database Administration, Database Analysis, Database Extract Transform and Load (ETL), Database Optimization, Database Programming, Embarcadero ER/Studio, Financial Services, Git, Global Financial Markets, Informatica, Information Technology & Information Systems, Information/Data Security (InfoSec), Migration Strategy, MongoDB, Multiplatform/Cross-Platform, NoSQL, Oracle, Oracle PL-SQL, Performance Tuning/Optimization, Problem Solving Skills, Query Analysis, Query Optimization, Refactoring, Remote Access, SQL (Structured Query Language), SQL Server Integration Services (SSIS), Software Administration, Software Development, Source Code/Configuration Management (SCM), Stored Procedures, User Documentation, Work From Home, erwin Data Modeler

LOCATION

IRVING, TX

POSTED

1 day ago

Global Financial Firm located in Irving, TX has an immediate contract opportunity for an experienced Senior Data Developer

"This role is currently on a Hybrid Schedule.
You will need to have reliable internet, computer and android or iphone for remote access into the client systems during remote work.
We will be expected in the office weekly 3 days depending on the team requirement.

****Video/ f2f interviews are required prior to all offers.

Pay rate range: $66.00 - $70.00 Negotiable based upon years of experience

Job Summary
We are seeking a highly experienced Senior Data Developer to join our technology team. With 5-10 years of experience, the ideal candidate will be an expert in designing and developing data solutions across both Oracle (relational) and MongoDB (NoSQL) environments. This role is a hybrid of data modeling and hands-on development, requiring a deep understanding of how to structure data effectively and the technical skills to build, optimize, and maintain the database code that interacts with it. You will be a key player in ensuring our data architecture is robust, scalable, and perfectly aligned with our application and business needs.

Key Responsibilities

Data Modeling and Design:
Design, develop, and maintain conceptual, logical, and physical data models for both Oracle and MongoDB platforms.
Translate complex business requirements into efficient and scalable relational (Oracle) and document-based (MongoDB) data structures.
Create and manage data dictionaries, ensuring clear documentation of data elements, relationships, and lineage.

Database Development:
Develop complex and efficient SQL, PL/SQL packages, stored procedures, functions, and triggers in an Oracle environment.
Write sophisticated queries, including complex joins, subqueries, and analytical functions to support application logic.
Develop and optimize queries and aggregation pipelines in MongoDB (MQL) to support high-performance application features.

Performance Tuning and Optimization:
Proactively monitor, analyze, and optimize database performance in both Oracle and MongoDB.
Analyze query execution plans, create appropriate indexes, and refactor code to ensure optimal efficiency and response times.
Work closely with application developers to guide them on best practices for database interaction and query writing.

Data Integration and Management:
Design and build ETL processes and data pipelines for moving and transforming data between Oracle, MongoDB, and other enterprise systems.
Ensure the integrity, consistency, and security of data across all platforms.
Assist with data migration strategies and execution.

Required Qualifications:
Bachelor's degree in Computer Science, Information Technology, or a related field.
5-10 years of progressive experience in a data-centric development role.
Expert-level proficiency in Oracle, including advanced SQL and PL/SQL development.
Strong, hands-on experience with MongoDB, including data modeling, MQL, and the aggregation framework.
Proven experience in data modeling, with a portfolio of projects demonstrating skills in both relational and NoSQL design.
Strong analytical and problem-solving skills, with a talent for identifying and resolving complex data-related issues.
Ability to work independently and collaboratively in a fast-paced, agile environment.

Preferred Skills:
Experience with data modeling tools such as Erwin, ER/Studio, or Lucidchart.
Knowledge of cloud database services (e.g., Oracle Cloud, MongoDB Atlas, AWS RDS).
Proficiency in a scripting language like Python or Bash for automation.
Experience with ETL tools (e.g., Informatica, Talend, SSIS).
Familiarity with version control systems, particularly Git.
Experience in the financial services or banking industry is a plus.

About the Company

Axelon

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