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Remote Python Sql Jobs in New Jersey (NOW HIRING)

NAVA Software Solutions

Data Engineer - Remote

Jersey City, NJ · On-site +1

$125K - $150K/yr

Remote project Skill Sets & Experiences- * Experience modeling using RDF TripleStore for Graph ... PL-SQL, T-SQL); experience in at least one programming language (i.e. Java or Python). Experience ...

First American

Proficiency in Python, SQL, JSON, or similar technologies to support data analysis, automation, and reporting solutions. * Experience with semantic modeling, AI-enabled analytics, and automation ...

Orison Solutions

Data Modeler

Florham Park, NJ · On-site +1

$57.25 - $74.25/hr

FLORHAM PARK,NJ( Hybrid / Remote can consider ) Core Skills 8+ years of data modeling experience in ... SQL Server, or Oracle Proficiency in SQL -- writing, reviewing, and optimizing queries and DDL ...

CSAA

Uses analytical tools such as SQL, Microsoft Excel, Essbase, Snowflake and PowerBI to access and ... Python, or R strongly preferred. * Ability to work in a team environment. * Ability to coach and ...

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Remote Python Sql information

What is a remote Python SQL developer?

A Remote Python SQL job involves working with databases and backend systems using the Python programming language and SQL (Structured Query Language) while working from a location outside of a traditional office. Professionals in this role typically write code to query, manipulate, and analyze data stored in databases, automate data workflows, and build data-driven applications. Remote arrangements allow these tasks to be completed from anywhere with a stable internet connection, offering flexibility while still requiring strong technical and communication skills.

What skills and qualifications are needed to thrive as a remote Python SQL developer?

To thrive as a Remote Python SQL Developer, you need strong proficiency in Python programming and SQL database management, typically backed by a degree in computer science or related experience. Familiarity with tools like PostgreSQL, MySQL, version control systems (e.g., Git), and cloud platforms is commonly required, along with any relevant certifications. Excellent problem-solving, self-motivation, and effective remote communication skills set standout professionals apart in this role. These skills are crucial for efficiently building and maintaining robust data-driven applications while collaborating seamlessly in distributed teams.

What are common challenges faced by remote Python SQL developers, and how can they be addressed?

Remote Python & SQL Developers often face challenges such as effective communication with distributed teams, managing overlapping project priorities, and ensuring data security when accessing databases remotely. To address these, it's crucial to establish clear communication routines (like daily stand-ups), use collaborative tools (such as Slack or Jira), and strictly follow company protocols for secure database access. Proactively seeking feedback and documenting code also help maintain project alignment and code quality within a remote environment.

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

AspectRemote Python SqlRemote Data Analyst
Required SkillsPython, SQL, data manipulationData visualization, SQL, statistical analysis
Work EnvironmentRemote, programming-focusedRemote, analysis and reporting
Industry UsageTech, finance, data-driven companiesBusiness, marketing, finance
CertificationsPython, SQL certificationsData analysis, Excel, Tableau certifications

Remote Python Sql roles focus on programming, data extraction, and database management, while Remote Data Analyst positions emphasize interpreting data, creating reports, and visualizations. Both roles often require SQL skills and can be found in similar industries, but they serve different functions within data teams.

What are the most commonly searched types of Python Sql jobs in New Jersey?

The most popular types of Python Sql jobs in New Jersey are:

What are popular job titles related to Remote Python Sql jobs in New Jersey?

For Remote Python Sql jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Remote Python Sql jobs in New Jersey look for?

The top searched job categories for Remote Python Sql jobs in New Jersey are:

What cities in New Jersey are hiring for Remote Python Sql jobs?

Cities in New Jersey with the most Remote Python Sql job openings:

Remote Python Sql jobs near you
Infographic showing various Remote Python Sql job openings in New Jersey as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Databricks Engineer / Architect

Celersoft

Jersey City, NJ • Remote

Contractor

Posted 2 days ago

New

Job description

Position: Databricks Engineer / Architect
Employment Type: Contractual
Work Arrangement: Remote
Experience: 10+ years overall, with 4+ years of hands-on Databricks experience
Location: Remote
About the Role
We are seeking an experienced Databricks Engineer / Architect to design, develop, and optimize modern data platforms and large-scale data engineering solutions using Databricks and cloud technologies.
The ideal candidate will have strong hands-on expertise in Databricks, Apache Spark, Python/SQL, Delta Lake, data architecture, ETL/ELT pipelines, and cloud platforms. This role requires someone who can operate at both the engineering and architecture levels—translating business requirements into scalable, secure, and high-performance data solutions.
Key Responsibilities
Design and architect scalable, reliable, and high-performance data platforms using Databricks.
Develop and optimize data pipelines using PySpark, Python, SQL, Spark, and Delta Lake.
Design modern Lakehouse architectures and implement enterprise-grade data solutions.
Develop batch and streaming data pipelines and integrate data from multiple sources.
Implement Delta Lake capabilities including schema evolution, partitioning, optimization, and data lifecycle management.
Work with Databricks Workflows, Jobs, notebooks, clusters, and related platform capabilities.
Design and implement data ingestion, transformation, and orchestration frameworks.
Optimize Spark workloads, Databricks clusters, SQL queries, and data pipelines for performance and cost.
Establish and implement data engineering best practices, coding standards, CI/CD, and deployment processes.
Implement appropriate security, governance, access controls, and data quality mechanisms.
Collaborate with data scientists, analysts, application teams, cloud engineers, and business stakeholders.
Provide technical leadership and mentorship to data engineering teams.
Evaluate existing data architectures and recommend improvements, modernization strategies, and technology adoption.
Troubleshoot complex production issues and provide root-cause analysis and long-term solutions.
Participate in architecture reviews, technical design sessions, and documentation of enterprise data solutions.
Required Technical Skills
Databricks & Data Engineering
Strong hands-on experience with Databricks
Advanced knowledge of Apache Spark / PySpark
Strong proficiency in Python and SQL
Extensive experience with Delta Lake
Experience designing and implementing scalable ETL/ELT pipelines
Strong understanding of Lakehouse architecture and modern data platforms
Experience with batch and real-time/streaming data processing
Cloud Technologies
Strong experience with at least one major cloud platform:
Microsoft Azure - Azure Data Lake Storage, Azure Data Factory, Azure Synapse, Azure Key Vault, Azure DevOps
AWS - S3, Glue, Lambda, IAM, Redshift, CloudWatch
GCP - Cloud Storage, BigQuery, Dataflow, Pub/Sub, IAM
Preferred Qualifications
Databricks certifications such as Databricks Certified Data Engineer or Databricks Certified Data Engineer Professional
Experience with Unity Catalog and Databricks governance capabilities
Experience implementing enterprise Medallion Architecture (Bronze/Silver/Gold)
Experience with structured streaming and event-driven architectures
Knowledge of data modeling and dimensional modeling
Experience with Kafka or other messaging/streaming platforms
Experience with data quality frameworks and observability
Familiarity with MLOps and integration with machine learning platforms
Strong communication, documentation, and stakeholder-management skills
Education
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
Equivalent professional experience may be considered.
What We’re Looking For
The successful candidate should be:
A strong hands-on Databricks Engineer who can also think at the architecture level.
Comfortable working independently in a fully remote environment.
Capable of translating complex business requirements into scalable technical solutions.
Strong in problem-solving, troubleshooting, and performance optimization.
An effective communicator who can work with both technical and non-technical stakeholders.
Comfortable providing technical leadership and driving architecture decisions.