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Remote Databricks Developer Jobs in Piscataway, NJ

ApexCare Talent Solutions

Data Scientist

New York, NY · On-site +1

Working closely with product, engineering, and business stakeholders, you will build data-driven ... Flexible work arrangements (Hybrid / Remote). Generous paid time off (PTO) and professional ...

New

Qvest US

Manager - Data & Analytics

New York, NY · On-site +1

Bachelor's degree in engineering, information systems, computer science, business administration ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Qvest US

Manager - Data & Analytics

New York, NY · On-site +1

Bachelor's degree in engineering, information systems, computer science, business administration ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Axos Bank

Sr. Database Administrator

New York, NY · On-site +1

$120K - $145K/yr

About This Job We are seeking a SQL DBA with hands-on Databricks experience to support and optimize ... This role combines strong database administration expertise with modern data engineering ...

Axos Bank

Sr. Database Administrator

Edison, NJ · On-site +1

$120K - $145K/yr

About This Job We are seeking a SQL DBA with hands-on Databricks experience to support and optimize ... This role combines strong database administration expertise with modern data engineering ...

Pfizer

Medical Analytics Data Engineer

New York, NY · On-site +1

$124K - $207K/yr

Databricks, DSS Data Science Studio (Dataiku) experience * Understanding of taxonomy structures and ... Remote * Eligible for Relocation Package: No #LI-PFE The annual base salary for this position ...

Flagler Health

Vice President, Engineering

New York, NY · Remote

$184K - $237K/yr

... Databricks, or similar) * Nice to have: Exposure to DevOps practices, including containerization, observability, and deployment automation Work Environment: * Distributed remote team with hybrid ...

Mercor

Enterprise Data Science Specialist

New York, NY · Remote

$60 - $70/hr

Remote Role Responsibilities * Construct enterprise data science scenarios for large-scale ... Develop data and MLOps scenarios using tools like Snowflake , Databricks , Python/R , SQL , Tableau ...

Applecart

Senior Infrastructure Engineer

New York, NY · On-site +1

$160K - $200K/yr

You will join a hybrid-remote team of skilled and collaborative software engineers dedicated to the ... Databricks, Snowflake) * You excel at infrastructure-as-code * You understand computer networking ...

Applecart

Senior Infrastructure Engineer

New York, NY · On-site +1

$160K - $200K/yr

You will join a hybrid-remote team of skilled and collaborative software engineers dedicated to the ... Databricks, Snowflake) * You excel at infrastructure-as-code * You understand computer networking ...

CIBC US

Data Security Consultant

New York, NY · On-site +1

$130K - $150K/yr

... Databricks and Microsoft Azure. * Cross-functional collaboration - Partner with technology teams ... Engineer (CDPSE) are considered an asset. * Values matter to you. You bring your real self to work ...

CIBC

Data Security Consultant

New York, NY · On-site +1

$130K - $150K/yr

... Databricks and Microsoft Azure. * Cross-functional collaboration - Partner with technology teams ... Engineer (CDPSE) are considered an asset. * Values matter to you. You bring your real self to work ...

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All JobsDatabricks Developer JobsRemote Databricks Developer JobsRemote Databricks Developer Jobs in Piscataway, NJ

Remote Databricks Developer information

What is a remote Databricks developer?

A Remote Databricks Developer is a software professional who specializes in building, managing, and optimizing data pipelines and analytics workflows on the Databricks platform, while working from a remote location. They use Databricks, which is based on Apache Spark, to process large datasets, develop ETL processes, implement machine learning models, and collaborate with data teams. Their responsibilities often include writing code in languages like Python, Scala, or SQL, integrating with cloud services, and ensuring data quality and security. Working remotely, they communicate with teams online and use cloud-based tools to complete their tasks efficiently.

How does a remote Databricks developer typically collaborate with cross-functional teams while working from different locations?

Remote Databricks Developers often work closely with data engineers, data scientists, and business analysts through virtual collaboration tools like Slack, Jira, and Zoom. Since team members may be distributed across various time zones, clear communication, regular stand-up meetings, and thorough documentation are essential for ensuring alignment on project goals and deadlines. Developers are also expected to participate in code reviews and shared knowledge sessions to maintain coding standards and support a collaborative environment. This structure helps ensure that complex data solutions are delivered efficiently and meet business requirements.

What are the key skills and qualifications needed to thrive as a remote Databricks developer, and why are they important?

To thrive as a Remote Databricks Developer, you need strong expertise in data engineering, programming languages like Python or Scala, and experience with big data frameworks, typically supported by a degree in computer science or a related field. Proficiency with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Associate Developer are commonly required. Strong problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These skills and qualities ensure efficient development, scalable data solutions, and effective teamwork in distributed environments.

What is the difference between Remote Databricks Developer vs Data Engineer?

AspectRemote Databricks DeveloperData Engineer
Required SkillsProficiency in Databricks, Spark, Python, SQLProficiency in data pipelines, ETL, cloud platforms, SQL
Work EnvironmentCollaborates on data projects using Databricks platformBuilds and maintains data infrastructure across cloud environments
CertificationsDatabricks certifications often preferredCloud certifications (AWS, Azure), data engineering certifications

While both roles involve working with data and cloud platforms, a Remote Databricks Developer specializes in developing solutions within the Databricks environment, focusing on Spark and data analytics. A Data Engineer has a broader scope, designing and maintaining data pipelines and infrastructure across various platforms. The roles overlap in skills like SQL and cloud knowledge, but their primary focus and tools differ.

What are the most commonly searched types of Databricks Developer jobs in Piscataway, NJ?

The most popular types of Databricks Developer jobs in Piscataway, NJ are:

What job categories do people searching Remote Databricks Developer jobs in Piscataway, NJ look for?

The top searched job categories for Remote Databricks Developer jobs in Piscataway, NJ are:

What cities near Piscataway, NJ are hiring for Remote Databricks Developer jobs?

Cities near Piscataway, NJ with the most Remote Databricks Developer job openings:

Remote Databricks Developer jobs near you
Infographic showing various Remote Databricks Developer job openings in Piscataway, NJ as of August 2026, with employment types broken down into 65% Full Time, 28% Contract, and 7% Nights. Highlights an 100% Remote job distribution.

Data Scientist

ApexCare Talent Solutions

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking an analytical and impact-driven Data Scientist to join our team. In this role, you will turn complex, multi-source data into actionable insights, predictive models, and strategic recommendations. Working closely with product, engineering, and business stakeholders, you will build data-driven solutions that solve core business challenges and optimize performance. Key Responsibilities Predictive Modeling & ML: Design, develop, and validate predictive models, statistical algorithms, and machine learning solutions using Python or R. Data Exploration & Analysis: Perform exploratory data analysis (EDA) to discover trends, patterns, anomalies, and opportunities across large datasets. Feature & Data Engineering: Extract, clean, transform, and aggregate data from relational and non-relational databases for analysis and model training. A/B Testing & Experimentation: Design, execute, and analyze controlled experiments (A/B testing) to evaluate product changes, strategy efficacy, and user behavior. Data Visualization & Storytelling: Create clear, interactive dashboards and visualizations (e.g., Tableau, Power BI, Looker) to communicate technical findings to non-technical leaders. Cross-Functional Collaboration: Partner with product managers and engineers to embed machine learning models into production services and data pipelines. Qualifications & Skills Experience: 3+ years of professional experience in data science, predictive analytics, or statistical modeling. Programming: Advanced proficiency in Python (Pandas, NumPy, Scikit-Learn, SciPy) or R. Database & SQL: Strong mastery of complex SQL queries, data warehousing, and data extraction. Mathematics & Statistics: Solid grounding in statistical inference, hypothesis testing, regression analysis, and machine learning fundamentals. Business Acumen: Ability to translate abstract business problems into concrete analytical solutions with measurable KPIs. Preferred Qualifications Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a quantitative field. Experience with cloud analytics environments (AWS SageMaker, BigQuery, Snowflake, or Databricks). Familiarity with deep learning frameworks (PyTorch or TensorFlow) or NLP techniques. What We Offer Competitive base salary and performance bonuses. Comprehensive health, dental, and vision insurance coverage. 401(k) retirement plan with company match. Flexible work arrangements (Hybrid / Remote). Generous paid time off (PTO) and professional development stipend.

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