Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Senior Data Engineer Legacy Data Migration & Cloud Modernization (Long Term Contract) (Wealth Management Platforms).
United States Jobs Expertini

Urgent! Senior Data Engineer Legacy Data Migration & Cloud Modernization (Long Term Contract) (Wealth Management Platforms) Job Opening In Warren Grove New Jersey – Now Hiring Career Developers

Senior Data Engineer Legacy Data Migration & Cloud Modernization (Long Term Contract) (Wealth Management Platforms)



Job description

Refer a friend: Referral fee program

Career Developers Inc., a distinguished staffing and consulting firm, is proud to celebrate 30 years of service excellence.

As a GSA Contract holder, we offer comprehensive staffing solutions for both commercial and government sectors nationwide.

By selectively partnering with clients who share our values, we ensure productive collaborations that set us apart in the industry.

Our dedication to candidates involves managing expectations with precision through business intelligence, thorough interview preparation, transparent communication, and exceptional feedback throughout the process.



We are committed to advancing your career and look forward to supporting your professional growth.


-----------------------------------------------------------------------------------------------------------------------------------------------





Senior Data Engineer – Legacy Data Migration & Cloud Modernization  (Long Term Contract)

Location:   Warren, NJ - On-site - Tues/Wed/Thursdays - Must live local in the NJ area to be considered!!

Rate:  OPEN



 *****Please note: The successful candidate must have experience, working on trading or wealth management platforms.



We seek a Data Engineer with deep expertise in building and maintaining robust data pipelines, optimizing complex data architectures, and integrating cloud and on-premises data solutions.

This role is ideal for someone with strong experience working with legacy data systems, custom file structures, and Oracle on-premise databases, alongside modern cloud-based tools like AWS, Snowflake, and Databricks.

You’ll play a key role in helping the business migrate and modernize its end-to-end data platform, transforming outdated infrastructure into a scalable, cloud-first architecture that supports AI, analytics, and strategic business insights.

 

Key Responsibilities


  • Lead the migration of legacy data systems and custom file formats into modern data platforms, especially Oracle on-prem databases.

  • Implement, manage, and maintain data platforms such as Oracle, Snowflake, and/or Databricks, ensuring high availability and performance while optimizing for cost.

  • Design, develop, and maintain scalable data pipelines to support diverse analytics and machine learning needs.

  • Work with large volumes of structured and unstructured legacy data, converting them into usable formats and integrating into enterprise platforms.

  • Optimize and manage data architectures for reliability, scalability, and performance.

  • Implement and support data integration and ETL/ELT solutions, ensuring seamless data flow across on-prem and cloud platforms.

  • Collaborate with Data Scientists, Analysts, and Product Teams to define and support data requirements.

  • Monitor and troubleshoot data systems to ensure performance and uptime.

  • Support ML model training and deployment with high-quality, curated datasets.

  • Analyze large datasets to identify trends, patterns, and actionable insights.

  • Work with third-party data vendors and platform providers to implement scalable solutions.


 

Required Skills


  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).

  • 5+ years of professional experience in data engineering or a related discipline.

  • Proven experience with Oracle on-premise databases, including large-scale data migrations from legacy file formats.

  • Strong experience working with large amounts of legacy data and custom structured file types.

  • Hands-on expertise with Snowflake, Databricks, or both.

  • Proficiency in SQL and Python for building, managing, and querying data pipelines.

  • Familiarity with ETL/ELT frameworks and data integration tools.

  • Solid experience with AWS services such as S3, Glue, Lambda, Redshift, EMR, etc.

  • Understanding of containerization and CI/CD pipelines (e.g., Docker, Git, Jenkins).

  • Excellent problem-solving skills and ability to manage large, complex datasets.

  • Strong written and verbal communication skills, capable of working with both technical and non-technical teams.

  • Ability to manage multiple projects simultaneously in a fast-paced, collaborative environment.


INDH

SQL wealth management Oracle Database Engineering SQL wealth management Oracle Database Engineering SQL wealth management Oracle Database Engineering SQL wealth management Oracle Database Engineering SQL wealth management Oracle Database Engineering SQL wealth management Oracle Database Engineering SQL wealth management Oracle Database Engineering SQL wealth management Oracle Database Engineering SQL wealth management Oracle Database Engineering SQL wealth management Oracle Database Engineering SQL wealth management Oracle Database Engineering SQL wealth management Oracle Database Engineering SQL wealth management Oracle Database Engineering SQL wealth management Oracle Database Engineering


Required Skill Profession

Other General



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your Senior Data Potential: Insight & Career Growth Guide


  • Real-time Senior Data Jobs Trends in Warren Grove, New Jersey, United States (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Data in Warren Grove, New Jersey, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 220161 jobs in United States and 10188 jobs in Warren Grove, New Jersey. This comprehensive analysis highlights market share and opportunities for professionals in Senior Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

  • Are You Looking for Senior Data Engineer Legacy Data Migration & Cloud Modernization (Long Term Contract) (Wealth Management Platforms) Job?

    Great news! is currently hiring and seeking a Senior Data Engineer Legacy Data Migration & Cloud Modernization (Long Term Contract) (Wealth Management Platforms) to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

  • The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Career Developers adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:
    • 1. Independence
    • 2. Loyalty
    • 3. Impartiality
    • 4. Integrity
    • 5. Accountability
    • 6. Respect for human rights
    • 7. Obeying United States laws and regulations
  • What Is the Average Salary Range for Senior Data Engineer Legacy Data Migration & Cloud Modernization (Long Term Contract) (Wealth Management Platforms) Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Warren Grove New Jersey. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

  • What Are the Key Qualifications for Senior Data Engineer Legacy Data Migration & Cloud Modernization (Long Term Contract) (Wealth Management Platforms)?

    Key qualifications for Senior Data Engineer Legacy Data Migration & Cloud Modernization (Long Term Contract) (Wealth Management Platforms) typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.

  • How Can I Improve My Chances of Getting Hired for Senior Data Engineer Legacy Data Migration & Cloud Modernization (Long Term Contract) (Wealth Management Platforms)?

    To improve your chances of getting hired for Senior Data Engineer Legacy Data Migration & Cloud Modernization (Long Term Contract) (Wealth Management Platforms), consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

  • Interview Tips for Senior Data Engineer Legacy Data Migration & Cloud Modernization (Long Term Contract) (Wealth Management Platforms) Job Success
    Career Developers interview tips for Senior Data Engineer   Legacy Data Migration & Cloud Modernization  (Long Term Contract)  (Wealth Management Platforms)

    Here are some tips to help you prepare for and ace your job interview:

    Before the Interview:
    • Research: Learn about the Career Developers's mission, values, products, and the specific job requirements and get further information about
    • Other Openings
    • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
    • Dress Professionally: Choose attire appropriate for the company culture.
    • Prepare Questions: Show your interest by having thoughtful questions for the interviewer.
    • Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.
    During the Interview:
    • Be Punctual: Arrive on time to demonstrate professionalism and respect.
    • Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.
    • Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.
    • Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.
    • Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.
    • Follow Up: Send a thank-you email to the interviewer within 24 hours.
    Additional Tips:
    • Be Yourself: Let your personality shine through while maintaining professionalism.
    • Be Honest: Don't exaggerate your skills or experience.
    • Be Positive: Focus on your strengths and accomplishments.
    • Body Language: Maintain good posture, avoid fidgeting, and make eye contact.
    • Turn Off Phone: Avoid distractions during the interview.
    Final Thought:

    To prepare for your Senior Data Engineer Legacy Data Migration & Cloud Modernization (Long Term Contract) (Wealth Management Platforms) interview at Career Developers, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Career Developers's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

  • How to Set Up Job Alerts for Senior Data Engineer Legacy Data Migration & Cloud Modernization (Long Term Contract) (Wealth Management Platforms) Positions

    Setting up job alerts for Senior Data Engineer Legacy Data Migration & Cloud Modernization (Long Term Contract) (Wealth Management Platforms) is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!