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Sql Developer Data Engineer Jobs in Whippany, NJ

MM International

SQL Developer

Jersey City, NJ · On-site

$47.25 - $64.75/hr

SQL Developer Location: Jersey City, NJ (Hybrid)- Look for local candidates only Must have: Banking ... Experience in deep data analysis, triaging, identifying data gaps, patterns, and behaviors to ...

Virtusa Corporation

PL/SQL Developer

Jersey City, NJ · On-site

$53 - $66.75/hr

PL/SQL DeveloperIntroduction: We are seeking a PL/SQL Developer who has the ability to be an ... Utilize ETL tools like Informatica (Power Center) for data integration * Create scripts and ...

New

Apex Informatics

SQL Developer

Jersey City, NJ · On-site

$47.25 - $64.75/hr

SQL Developer Location: Jersey City, NJ (Hybrid Role) Look for Nearby candidates Required Skills ... big data technology stacks such as Snowflake, Hadoop. • Significant experience in data ...

Veracity Software Pvt. Ltd.

SQL Developer

Jersey City, NJ · On-site

$49.50 - $68/hr

The SQL Developer will work closely with technical leads and Product Owners to deliver data, analytics, and reporting functionalities, while also being responsible for hands-on application ...

AditiStaffing

SQL Developer

Parsippany Troy Hills, NJ · On-site

$45.50 - $62.25/hr

Data set up and environment shake down. Additional Information Thanks & Regards Arun Kumar Technical Recruiter Email: arunkr(at)aditistaffing(dot)com - 425 256 3110

InterSources Inc

SQL DEVELOPER

Manhattan, NY · On-site

$49.75 - $68.25/hr

They are seeking an SQL Developer with strong SSIS skills to contribute to their projects, requiring extensive experience in SQL programming and problem-solving abilities, particularly in the ...

3B Staffing LLC

GCP Developer- Data Engineer

Parsippany, NJ · On-site

$115K - $138K/yr

Title: GCP Developer- Data Engineer Location: Parsippany, NJ Duration: Full Time * Primary Skill ... Strong skills in SQL and languages like Python. * Deep understanding of data warehousing concepts ...

3B Staffing LLC

GCP Developer- Data Engineer

Parsippany, NJ

$115K - $138K/yr

Title: GCP Developer- Data Engineer Location: Parsippany, NJ Duration: Full Time * Primary Skill ... Strong skills in SQL and languages like Python. * Deep understanding of data warehousing concepts ...

1 point system

SQL Developer

New York, NY · Remote

$46.25 - $63.50/hr

Maintain a strong understanding of medical claims, member data, and provider data. Agile Execution ... Job Requirements Education: Master's or Bachelor's degree in Engineering (IT, Electronics ...

Randstad Digital

Sr PL/SQL Developer

Jersey City, NJ · On-site

$54.62 - $64.62/hr

The ideal candidate will have 10-15 years of experience in PL/SQL, data engineering, and financial markets, with a focus on surveillance, compliance, and data governance. location: Jersey City, New ...

MDAEdge

PL/SQL Developer

Brooklyn, NY · On-site

$55.25 - $69.50/hr

The role involves developing and maintaining PL/SQL packages, optimizing SQL and PL/SQL code, and ... with data structures, data manipulation, databases, design, programming, testing, and ...

1 point system

PL/SQL Developer

New York, NY · Remote

An experienced engineer who designs, builds, and operates Oracle PL/SQL data structures, business logic and data pipelines. Owns features end‑to‑end, from design to production support. Skilled in ...

NAVA Software Solutions

Azure SQL Developer

Weehawken, NJ · On-site

$59.75 - $74.25/hr

NAVA Software solutions is looking for a Azure SQL Developer Details: ETL w/T-SQL and Azure ... TSQL Programmer and Batch Developer (Using Azure Data Factory and Python Scripting) * Experience in ...

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All JobsSql Developer Data Engineer JobsSql Developer Data Engineer Jobs in Whippany, NJ

Sql Developer Data Engineer information

See Whippany, NJ salary details

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How much do sql developer data engineer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for sql developer data engineer in Whippany, NJ is $52.90, according to ZipRecruiter salary data. Most workers in this role earn between $43.75 and $59.95 per hour, depending on experience, location, and employer.

What is a SQL developer data engineer?

SQL Developer Data Engineers are technology professionals who design, develop, and maintain databases and data pipelines using SQL and related tools. They are responsible for extracting, transforming, and loading (ETL) data to ensure it is accessible, reliable, and optimized for analysis and reporting. These engineers collaborate with other IT and business teams to support data-driven decision-making, improve data quality, and implement data security measures. Their work is crucial for organizations that rely on large amounts of data for their operations and analytics.

How do SQL developer data engineers typically collaborate with data analysts and other stakeholders within a company?

SQL Developer Data Engineers frequently work closely with data analysts, business intelligence teams, and other stakeholders to ensure data is accessible, reliable, and optimized for analysis. They are responsible for designing and maintaining the data infrastructure, writing complex queries, and translating business requirements into technical solutions. Regular meetings and clear communication are essential, as they often need to explain technical concepts to non-technical team members and incorporate feedback to refine data models or reporting systems. This collaborative environment enables efficient data-driven decision-making across the organization.

What are the key skills and qualifications needed to thrive as an SQL developer data engineer, and why are they important?

To thrive as an SQL Developer/Data Engineer, you need strong proficiency in SQL, database design, data modeling, and a relevant degree in computer science or a related field. Familiarity with ETL tools, data warehousing solutions, and platforms like Microsoft SQL Server, Oracle, or cloud-based databases, as well as certifications such as Microsoft Certified: Azure Data Engineer Associate, are often required. Analytical thinking, problem-solving, and effective communication are vital soft skills for collaborating with stakeholders and translating business requirements into technical solutions. These skills and qualities enable efficient data management, reliable data pipelines, and actionable insights that drive business decisions.

What is the difference between Sql Developer Data Engineer vs Data Analyst?

AspectSql Developer Data EngineerData Analyst
Required SkillsSQL, ETL, data modeling, programming (Python, Java)Data visualization, statistical analysis, SQL
CertificationsSQL certifications, cloud platform certificationsData analysis or visualization certifications
Work EnvironmentData pipelines, database management, cloud platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

The Sql Developer Data Engineer focuses on building and maintaining data pipelines, databases, and infrastructure, often working with large-scale data systems. Data Analysts interpret data, create reports, and provide insights for decision-making. While both roles require SQL skills, Data Engineers typically have more programming and system architecture responsibilities, whereas Data Analysts focus on data interpretation and visualization.

What cities near Whippany, NJ are hiring for Sql Developer Data Engineer jobs?

Cities near Whippany, NJ with the most Sql Developer Data Engineer job openings:

Sql Developer Data Engineer jobs near you

SQL Developer

MM International

Jersey City, NJ • On-site

$47.25 - $64.75/hr

Contractor

Re-posted 3 days ago

Job description

SQL Developer

Location: Jersey City, NJ (Hybrid)- Look for local candidates only  

Must have: Banking domain exp.

Description:

  • Enterprise Finance Technology GWD Technology team is working on and implementing innovative solutions to improve forecasting processes and support operational excellence.
  • This role will be responsible for working closely with the technical leads and Product Owners to deliver support data, analytics and reporting functionalities in the GWD platform.
  • This right candidate will be responsible for hands-on application development to support the current and target process across the SDLC - design, build, test, deploy support.

Technical Expertise:

  • Significant 8-10 years of experience in Microsoft SQL programming and development, including SSMS, SSRS, SSAS, and CUBE (Star Schema).
  • Ability to design, lead and implement migration of legacy database tech to scalable, high-performance data platforms using technologies such as Airflow, Hadoop, Spark, Hive, Kafka, and Snowflake.
  • Programming skills in languages like Scala/ Pyspark/SparkSQL.
  • Experience in deep data analysis, triaging, identifying data gaps, patterns, and behaviors to support enhancements and user requests.
  • Experience working with large data sets (~100 million records) and optimizing performance for scalability.
  • Expertise in developing and managing data pipelines for ingesting, processing, and analyzing large volumes of data from various sources.
  • Ensure data integrity, security, and performance in modernized database environments.
  • Collaborate with cross-functional teams to align with enterprise data strategy and understand business requirements.
  • Communicate complex data concepts and architectural designs to both technical and non-technical audiences.
  • Provide technical guidance and support to development teams during the implementation of database changes.
  • Stay current with industry trends and emerging technologies in both traditional databases and big data.

Soft Skills:

  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.
  • Leadership and team collaboration skills.
  • Strategic thinking and business acumen.
  • Ability to adapt to changing technology landscapes and continuous learning.

 

Qualifications:

  • Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
  • Extensive experience (minimum 8-10 years) in data architecture, database design, or data engineering roles, with a focus on big data.
  • Experience working with large-scale data projects, preferably within the financial services industry.