Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Data Engineer, Python, AWS, Databricks.
United States Jobs Expertini

Urgent! Data Engineer, Python, AWS, Databricks Job Opening In Jersey City – Now Hiring JPMorgan Chase

Data Engineer, Python, AWS, Databricks



Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the Commercial and Investment Bank, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way.

You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

**Job Responsibilities**

+ Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics.
+ Frequently utilizes SQL and understands NoSQL databases and their niche in the marketplace
+ Implement best practices for data engineering, ensuring data quality, reliability, and performance
+ Contribute to data modernization efforts by leveraging cloud solutions and optimizing data processing workflows
+ Perform data extraction and implement complex data transformation logic to meet business requirements
+ Monitor and executes data quality checks to proactively identify and address anomalies
+ Ensure data availability and accuracy for analytical purposes
+ Identify opportunities for process automation within data engineering workflows
+ Deploy and manage containerized applications using Amazon ECS ( Kubernetes EKS) .
+ Implement data orchestration and workflow automation using AWS step , Event Bridge
+ Use Terraform for infrastructure provisioning and management, ensuring a robust and scalable data infrastructure.

**Required qualifications, capabilities, and skills**

+ Formal training or certification on Software / Data Engineering concepts and 3+ years applied experience
+ Experience across the data lifecycle
+ Experience working with modern Lakehouse : Databricks , Glue )
+ Proficient in SQL coding (e.g., joins and aggregations)
+ Experience in Micro service based component using ECS or EKS
+ Experience in building and optimizing data pipelines, architectures, and data sets ( Glue or Data bricks etl)
+ Proficient in object-oriented and object function scripting languages (Python etc.)
+ Experience in developing ETL process and workflows for streaming data from heterogeneous data sources ( Kafka)
+ Experience building Pipeline on AWS using Terraform and using CI/CD pipelines

**Preferred qualifications, capabilities, and skills**

+ Advanced knowledge of RDBMS like Aurora , Open Search
+ Experience with data pipeline and workflow management tools (Airflow, etc.)
+ Strong analytical and problem-solving skills, with attention to detail.
+ Ability to work independently and collaboratively in a team environment.
+ A proactive approach to learning and adapting to new technologies and methodologies.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands.

Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location.

Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.

We also offer a range of benefits and programs to meet employee needs, based on eligibility.

These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.

Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success.

We are an equal opportunity employer and place a high value on diversity and inclusion at our company.

We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.

We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

**Base Pay/Salary**
Jersey City,NJ $133,000.00 - $185,000.00 / year


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 Data Engineer Potential: Insight & Career Growth Guide


  • Real-time Data Engineer Jobs Trends in Jersey City, 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 Data Engineer in Jersey City, 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 207675 jobs in United States and 7154 jobs in Jersey City. This comprehensive analysis highlights market share and opportunities for professionals in Data Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

  • Are You Looking for Data Engineer, Python, AWS, Databricks Job?

    Great news! is currently hiring and seeking a Data Engineer, Python, AWS, Databricks 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 JPMorgan Chase 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 Data Engineer, Python, AWS, Databricks Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Jersey City. 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 Data Engineer, Python, AWS, Databricks?

    Key qualifications for Data Engineer, Python, AWS, Databricks 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 Data Engineer, Python, AWS, Databricks?

    To improve your chances of getting hired for Data Engineer, Python, AWS, Databricks, 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 Data Engineer, Python, AWS, Databricks Job Success
    JPMorgan Chase interview tips for Data Engineer, Python, AWS, Databricks

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

    Before the Interview:
    • Research: Learn about the JPMorgan Chase'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 Data Engineer, Python, AWS, Databricks interview at JPMorgan Chase, 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 JPMorgan Chase'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 Data Engineer, Python, AWS, Databricks Positions

    Setting up job alerts for Data Engineer, Python, AWS, Databricks 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!