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Junior Data Engineer Jobs in Fishkill, NY (NOW HIRING)

Sr. Consultant, Data Engineer

Hopewell Junction, NY · On-site

$107.20K - $145.70K/yr

Mentorship of junior engineers in best practices for data ingestion, performance tuning, and troubleshooting. * 5+yrs in related technical roles, data management, database development, ETL,Data ...

Sr. Consultant, Data Engineer

Poughkeepsie, NY · On-site

$104.70K - $142.30K/yr

Mentorship of junior engineers in best practices for data ingestion, performance tuning, and troubleshooting. * 5+yrs in related technical roles, data management, database development, ETL,Data ...

Sr. Consultant, Data Engineer

Yorktown Heights, NY · On-site

$113.20K - $153.80K/yr

Mentorship of junior engineers in best practices for data ingestion, performance tuning, and troubleshooting. * 5+yrs in related technical roles, data management, database development, ETL,Data ...

... Engineer Location: Ridgefield, CT (Hybrid / On-site preferred) - Flexible work from home days ... Provide technical leadership, mentorship, and best-practice guidance to junior engineers. * Drive ...

New

Junior Estimator

Newburgh, NY · On-site

$60K - $80K/yr

... facilities, data centers, chip plants, universities, sports stadiums, extra high voltage ... Bachelor's degree in electrical engineering, construction management, or a related field preferred ...

Senior Systems (DOORS) Engineer

Danbury, CT · On-site

$106.60K - $145.90K/yr

Provide mentorship and technical guidance to junior engineers * Support design reviews, risk ... Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy ...

AWS Cloud Engineer - Contact Center

Danbury, CT · On-site

$122.80K - $184.20K/yr

Mentor junior team members and influence technical decisions to enable The Hartford's technology ... Minimum 4+ years of software development or data engineering experience. * 2+ years of operating ...

Strong data analysis and technical problem solving. * Willingness to develop competence in a broad array of engineering related tasks * Ability to train and mentor junior level staff. * Successful ...

Strong data analysis and technical problem solving. * Willingness to develop competence in a broad array of engineering related tasks * Ability to train and mentor junior level staff. * Successful ...

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Junior Data Engineer information

See Fishkill, NY salary details

$33.4K

$71.6K

$109.2K

How much do junior data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for junior data engineer in Fishkill, NY is $71,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,400.00 and $79,800.00 per year, depending on experience, location, and employer.

What is a Junior Data Engineer job?

A Junior Data Engineer is an entry-level role focused on building and maintaining data pipelines, supporting data integration, and ensuring efficient data flow within an organization. They work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to help store, process, and analyze data. Junior Data Engineers collaborate with senior engineers and data analysts to optimize data infrastructure and improve performance. They typically have knowledge of SQL, Python, and big data tools like Spark or Hadoop. This role serves as a foundation for advancing into senior data engineering positions.

What are the key skills and qualifications needed to thrive in the Junior Data Engineer position, and why are they important?

To thrive as a Junior Data Engineer, you need a foundational knowledge of programming (especially Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Experience with ETL tools, cloud platforms (like AWS or Azure), and data warehousing solutions, as well as relevant certifications, is highly beneficial. Attention to detail, effective communication, and a collaborative mindset are valuable soft skills that set candidates apart. These skills are crucial for building reliable data pipelines, ensuring data integrity, and working efficiently in data-driven teams.

What are some typical responsibilities of a Junior Data Engineer in their day-to-day work?

As a Junior Data Engineer, you will likely spend your days assisting with data pipeline development, performing basic data extraction, transformation, and loading (ETL) tasks, and helping maintain and troubleshoot databases. You may also be responsible for supporting data quality checks, writing simple scripts, and documenting your processes to help senior engineers and data analysts. Collaboration is key, as you'll often work closely with team members to understand project requirements and integrate feedback. This role offers the chance to build technical skills on real-world projects while gaining mentorship from experienced engineers.
What are popular job titles related to Junior Data Engineer jobs in Fishkill, NY? For Junior Data Engineer jobs in Fishkill, NY, the most frequently searched job titles are:
What cities near Fishkill, NY are hiring for Junior Data Engineer jobs? Cities near Fishkill, NY with the most Junior Data Engineer job openings:
Senior Data Engineer

$104.70K - $142.30K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago


Hudson Valley Credit Union rating

8.6

Company rating: 8.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Overview

Hudson Valley Credit Union is currently recruiting for the position of Senior Data Engineer. Primary Functions: Design, build, and optimize our data infrastructure, leveraging the power and scalability of Databricks within our Azure environment. Maintain a deep expertise in Databricks and its ecosystem in order to build high-performance data pipelines, ensure data quality, and enable advanced analytics and machine learning initiatives.


Responsibilities
  • Design, develop, and maintain robust and scalable data pipelines primarily using Databricks, leveraging Spark (PySpark or Scala), Delta Lake, and Databricks Workflows
  • Build and optimize data lakehouse solutions on Azure Data Lake Storage Gen2 integrated with Databricks
  • Implement and enforce data quality frameworks and data governance policies within Databricks using tools and features like Delta Lake's ACID properties and data validation techniques
  • Identify and resolve performance bottlenecks in Databricks-based data pipelines and Spark applications
  • Collaborate closely with analysts to understand their data requirements for advanced analytics, providing them with curated and performant datasets within Databricks
  • Automate data ingestion, transformation, and deployment processes, potentially integrating with CI/CD tools and Databricks MLOps
  • Provide technical leadership and mentorship to junior data engineers on Databricks best practices and performance tuning
  • Document Databricks notebooks, data pipelines, data models, and configurations
  • Ensure data security and compliance within the Databricks environment, adhering to relevant security standards and best practices
  • Troubleshoot and resolve complex data-related issues within the Databricks ecosystem
  • Work independently and contribute to immediate and cross-functional teams
  • Participate in design discussions
  • Analyze problem statements, break down problems, and provide solutions
  • Follow an agile-based approach to deliver data products
  • Take ownership of large tasks, delivering on time, and mentoring team members
  • Oversee the maintenance and enforcement of SDLC and ITSM processes, change management procedures, departmental standards, style requirements and all other procedures necessary for data and system integrity
  • Adhere to all Credit Union policies, procedures, and regulatory agency requirements. Participate in all required and recommended training and development including, but not limited to, Bank Secrecy Act training (BSA) and demonstrate attained knowledge. Participate on Credit Union teams, projects and strategic initiatives when the opportunity arises. Perform additional duties and special projects as assigned.
  • Embrace and apply HVCU's guiding principles to all activities and responsibilities. This includes the Credit Union's Mission, Vision, Core Values, Employee and Member Value Propositions, Sales and Service Model, and commitment to Lean Six Sigma practices. Support the Credit Union's initiatives by demonstrating teamwork and professionalism.
  • Responsible for regular and predictable attendance including punctuality.

Qualifications
  • Bachelor's Degree or equivalent in Computer Science or related field required.
  • Master's Degree or equivalent in Computer Science or related field preferred.
  • License/Certification Databrick Data Engineer Associate required.
  • License/Certification Databrick Data Engineer Professional preferred.
  • License/Certification Mircrosoft Azure Data Engineer preferred.
  • Minimum 5 years of experience as Data Engineer required.
  • Minimum 5 years of experience Data Wharehousing, Data Lakes and big date platforms required.
  • Minimum 5 years Python experience required.
  • Minimum 3 years Databricks experience required.

Click here to view full job description


Why Choose HVCU?

Join a team where your growth matters. At Hudson Valley Credit Union, we offer a supportive, community-focused culture, competitive benefits, and opportunities to grow your career while making a meaningful impact. Come be part of a Great Place to Work!

Employee Perks:

  • Base & Variable Pay Structures
  • Paid Personal, Holiday & Volunteer Time Off
  • Professional Development & Training
  • Student Loan Repayment & Tuition Reimbursement Programs
  • Medical, Dental & Vision Coverage
  • 401(k) With Employer Match & Non-Elective Employer Contribution
  • Life, Short-term & Long-term Disability Insurances
  • Discounted Loan Rates & Fees

Hudson Valley Federal Credit Union is an AA/EEO employer committed to equal opportunity and employee diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, military or veteran status, genetic information, marital or familial status, domestic violence victim status, or any other characteristic protected by law.