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Sql Python Data Engineer Jobs in Hoboken, NJ (NOW HIRING)

Python Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

... PySpark, and SQL. Responsibilities : • Will be creating a pipeline and writing in Pyspark ... Python Programming • Strong skills around object-oriented analysis and design (OOAD) • data ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer Location: NYC, NY & Alpharetta, GA (Locals preferred & can submit from nearby ... SQL * - Python * - Spark, Hive, Airflow Preferred Skills: * - Cloud data platforms (AWS/GCP/Azure ...

SQL/Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

SQL/Python Developer Location: Jersey City, NJ or Dallas, TX (Hybrid - 3 Days Onsite) Duration: 6-12 Months Contract-to-Hire Note :W2 role no C2C Required Skills & Experience * 8+ years of software ...

SQL/Python Developer

New York, NY · On-site

$55 - $60/hr

SQL. * Stored Procedures. * Query Optimization. * Performance Tuning. * Python. * Java ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Python, SQL, Snowflake, Pandas, Azure ADF ETL, Data pipelines Behavioral Competencies: Good ... Engineering, or a related field. 3+ years of experience in data engineering, with a strong ...

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Sql Python Data Engineer information

See Hoboken, NJ salary details

$48.7K

$141.9K

$194.2K

How much do sql python data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for sql python data engineer in Hoboken, NJ is $141,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $150,400.00 per year, depending on experience, location, and employer.

What is a SQL Python data engineer?

SQL Python Data Engineers are professionals who design, build, and maintain systems for collecting, storing, and analyzing large volumes of data, primarily using SQL and Python. They create data pipelines, optimize queries, and ensure data is accessible and reliable for analytics and business needs. Their work often involves collaborating with data scientists, analysts, and IT teams to support data-driven decision-making within an organization.

What are the key skills and qualifications needed to thrive as a SQL Python data engineer?

To thrive as a SQL Python Data Engineer, you need expertise in database design, advanced SQL querying, and proficiency in Python programming, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools, ETL frameworks, cloud platforms (like AWS or Azure), and certifications such as AWS Certified Data Analytics are commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with teams and translate business needs into technical solutions. These skills ensure the efficient management, transformation, and delivery of reliable data for organizational decision-making.

How do SQL Python data engineers typically collaborate with data scientists and analysts within a project team?

SQL Python Data Engineers play a crucial role in enabling data scientists and analysts to access clean, reliable data. They are responsible for designing, building, and maintaining data pipelines that transform raw data into usable formats. Collaboration often involves working closely with data scientists to understand their data requirements and optimizing queries or scripts for performance. Regular communication and agile meetings are common, ensuring that data infrastructure supports evolving analytical needs. This partnership ensures that downstream users receive timely, accurate datasets for modeling, reporting, and decision-making.

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

AspectSql Python Data EngineerData Analyst
Required SkillsSQL, Python, ETL, data modeling, cloud platformsSQL, Excel, data visualization, basic statistics
Work EnvironmentData pipelines, backend systems, cloud infrastructureReporting, dashboards, business insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis or visualization certifications (e.g., Tableau, Excel)
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare

The Sql Python Data Engineer focuses on building and maintaining data pipelines, working with large datasets, and ensuring data accessibility for organizations. In contrast, Data Analysts primarily interpret data, create reports, and provide insights to support business decisions. While both roles require SQL skills, data engineers emphasize programming and infrastructure, whereas data analysts focus on analysis and visualization.

What cities near Hoboken, NJ are hiring for Sql Python Data Engineer jobs?

Cities near Hoboken, NJ with the most Sql Python Data Engineer job openings:

Infographic showing various Sql Python Data Engineer job openings in Hoboken, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $141,921 per year, or $68.2 per hour.

Python Data Engineer

Jersey City, NJ • On-site

Syntricate Technologies
IT Services • 51 - 200 employees

$125K - $150K/yr

Full-time

Re-posted 29 days ago


Job description

Job Summary:
Syntricate Technologies is seeking a Python Data Engineer to join their team. The role involves developing data pipelines and migrating systems to AWS, requiring strong skills in Python, PySpark, and SQL.
Responsibilities:
• Will be creating a pipeline and writing in Pyspark – Migrating from legacy platform to new platform
• This is an AWS Migration project – MUST BE STRONG IN AWS. Databricks is a plus, if it's on the resume they MUST be able to speak to it
• Should have Datalake Experience
Qualifications:
Required:
• 5+ years applied experience
• bachelor's degree required
• Python Programming
• Strong skills around object-oriented analysis and design (OOAD)
• data structures
• algorithms
• design patterns
• Hands-on practical experience in system design
• application development
• testing
• operational stability
• Advanced understanding of agile methodologies such as CI/CD
• Application Resiliency
• Security
• Proficient in coding in Python
• PySpark
• Java 17/21
• Spring Boot
• SQL Databases
• Prior hands-on experience in Cloud technologies - AWS, AZURE
• Strong in Python, Spark, Pyspark, AWS, SQL
• Strong in SQL
• Creating a pipeline and writing in Pyspark
• Migrating from legacy platform to new platform
• MUST BE STRONG IN AWS
• Datalake Experience
• Leads MUST be strong in both java & Pyspark (Python + Spark) – 70% Pyspark – 30% Java
• Other 3 resources need to be strong in Python/Spark/Pyspark
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.