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Remote Databricks Developer Jobs in Oakland, NJ (NOW HIRING)

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Remote Seeking a highly skilled and motivated Data Engineer to join a dynamic team. As a key ... SQL * Databricks, Collibra, and/or Alteryx. * Familiarity with cloud-based data platforms ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Location: Remote Project Duration: 6-12 months Responsibilities: * Analysis, design ... Strong data warehousing experience with Azure, Databricks, and Snowflake. * Demonstrated strength ...

Soda Data

Sales Engineer (Remote)

New York, NY · Remote

$100K - $130K/yr

We're hiring a remote Sales Engineer to work alongside our AEs, CRO, and the rest of the GTM team ... Learn the enterprise data stack - Snowflake, Databricks, dbt, Airflow, Kafka Requirements Must have ...

1 point system

Data QA

New York, NY · Remote

$117K - $140K/yr

Cotiviti is seeking a QA Engineer with strong experience in testing data pipelines and validating ... The ideal candidate will have hands-on expertise with Databricks, AWS EMR, or Apache Spark , and a ...

DriveWealth

Principal Data Engineer

New York, NY · On-site +1

$220K - $240K/yr

... Databricks, dbt, and Python) that fuel data-driven decision-making across the business. What You'll ... CI/CD & DevOps: Own the technical implementation of our data deployment reporting pipelines (Git ...

Cloudacio

Data Engineer (Contract) (Remote)

Manhattan, NY · Remote

$126K - $151K/yr

Embracing a remote and flexible work philosophy, we offer our team the freedom to collaborate and ... Azure: Databricks, Data Factory, Azure SQL Database, Blob Storage, Event Hubs * GCP: BigQuery ...

Archgroup

Manager, Data Engineer (Remote)

New York, NY · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

Archgroup

Manager, Data Engineer (Remote)

Jersey City, NJ · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

Archgroup

Manager, Data Engineer (Remote)

Jersey City, NJ · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

Archgroup

Manager, Data Engineer (Remote)

New York, NY · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

Archgroup

Manager, Data Engineer (Remote)

White Plains, NY · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

Archgroup

Manager, Data Engineer (Remote)

White Plains, NY · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

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Remote Databricks Developer information

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.

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 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.
What job categories do people searching Remote Databricks Developer jobs in Oakland, NJ look for? The top searched job categories for Remote Databricks Developer jobs in Oakland, NJ are:
What cities near Oakland, NJ are hiring for Remote Databricks Developer jobs? Cities near Oakland, NJ with the most Remote Databricks Developer job openings:
Remote Databricks Developer jobs near you
Lakehouse Developer - Remote

Lakehouse Developer - Remote

NAVA Software Solutions

Jersey City, NJ • On-site, Remote

Full-time

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

Job description

NAVA Software is looking for a Lakehouse Developer
Details:
Lakehouse Developer
Location: Remote
Duration: 6 months CTH
Position Summary:
The Lakehouse Developer is responsible for designing, implementing, and maintaining data lakehouse solutions that integrate data storage and analytics. This role involves collaborating with data engineers and analysts to enable data workflows and ensure data integrity. The developer will leverage tools and technologies for efficient data processing and analysis.
Minimum Qualifications:
  • 6+ Years overall IT experience with minimum 4 years of work experience in below tech skills
  • Work experience in data lakehouse in any of these: Apache Iceberg, Databricks, Delta Lake.
  • Proficient in Python scripting and PySpark for data processing tasks.
  • Strong SQL capabilities, with hands-on experience managing big data using ETL tools.
  • Experience with the AWS cloud platform and its data services
  • Skilled in BASH/Shell scripting.
  • Preferred: Experience with Kafka and Mulesoft API.
  • Understanding of healthcare data systems is a plus.
  • Experience in Agile methodologies.
  • Strong analytical and problem-solving skills.
  • Effective communication and teamwork abilities.

Responsibilities:
  • Implement lakehouse architecture to integrate and optimize data storage and analytics processes.
  • Develop ETL pipelines for efficient data ingestion, transformation, and loading from various sources.
  • Optimize query performance by analyzing and tuning data workflows to minimize latency.
  • Implement data governance policies to ensure compliance and protect sensitive data.
  • Collaborate with data teams to gather requirements and deliver solutions that enhance data accessibility.
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About NAVA Software Solutions

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NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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