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Contract Databricks Developer Jobs in Newark, NY

Senior Data Engineer - GCP

Rochester, NY · On-site

$145K - $165K/yr

Who We're Looking For Megazone Cloud is looking for a Senior Data Engineer to help lead and define ... data contracts. • Cross-platform depth - AWS, Databricks, or Snowflake. We meet clients where ...

Contract Databricks Developer information

See Newark, NY salary details

$20

$61

$79

How much do contract databricks developer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for contract databricks developer in Newark, NY is $61.50, according to ZipRecruiter salary data. Most workers in this role earn between $55.29 and $68.03 per hour, depending on experience, location, and employer.

What is a Contract Databricks Developer?

A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.

What are some common challenges faced by Contract Databricks developers when starting a new project?

As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.

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

AspectContract Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformDesigning, building, and maintaining scalable data architectures
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data modeling
Work EnvironmentProject-based, often remote, with a focus on Databricks environmentsVaries from in-house teams to consulting, working on large-scale data systems

While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.

What are the key skills and qualifications needed to thrive as a Contract Databricks Developer?

To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.

What cities near Newark, NY are hiring for Contract Databricks Developer jobs?

Cities near Newark, NY with the most Contract Databricks Developer job openings:

Infographic showing various Contract Databricks Developer job openings in Newark, NY as of August 2026, with employment types broken down into 79% Full Time, 6% Part Time, and 15% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $127,912 per year, or $61.5 per hour.

Senior Data Engineer - GCP

MegazoneCloud

Rochester, NY • On-site

$145K - $165K/yr

Full-time

Posted 8 days ago


Job description

About Megazone Cloud
We're not just another cloud company. We're a scrappy startup, funded by Asia's largest cloud provider, building the
next generation of data solutions from the ground up. We're a team of builders, thinkers, and problem-solvers. If
you're tired of red tape and want to build impactful, cutting-edge systems while having your voice heard, you've
found your home.
Who We're Looking For
Megazone Cloud is looking for a Senior Data Engineer to help lead and define our data-driven culture on Google
Cloud. You are a "builder" at heart, a seasoned expert who thrives on solving complex problems. You have a startup
mentality, a thirst for knowledge, and the ability to lead projects and mentor others.
You have deep expertise in data architecture and data wrangling, and you are a master of Python, SQL, and BigQuery.
You've architected platforms that other people's businesses run on, and you know the difference between a pipeline
that works and a pipeline that survives contact with the real world.
At L5 you lead ambiguous projects from conception to delivery and act as the technical point of contact for a client
workstream. You're a "force multiplier" - your presence makes the engineers around you better.
What You'll Do
• Architect, build, and lead: Architect and own scalable, high-performance data platforms and pipelines on Google
Cloud - not just maintain them.
• Define the data ecosystem: Drive the strategy for a client's data environment, leveraging BigQuery and the GCP
data stack to create powerful, efficient data models.
• Write and review critical code: Develop clean, optimized, and automated solutions using Python and SQL. Set the
standard for code quality and run rigorous, kind code reviews.
• Face the client: Lead technical discussions in your workstream - demos, working sessions, architecture reviews,
and knowledge-transfer workshops - and translate business requirements into technical decisions.
• De-risk: Prototype solutions, evaluate new services, and surface risks before they become escalations.
• Collaborate and multiply: Act as a key "force multiplier" within our cross-functional US and offshore teams, and
mentor junior engineers into engineers you'd want on your next project.
• Be a flexible leader: Embrace a "builder" mentality. In a startup, you'll have the flexibility to solve diverse
challenges, and your voice will be critical in shaping our technical roadmap.
The Stack We Build On
Layer What we build with
MegazoneCloud • Senior Data Engineer (L5) • 2
Warehouse & compute BigQuery - partitioning, clustering, authorized views, BI Engine, BigQuery ML
Ingestion & streaming Datastream, Pub/Sub, Dataflow, Cloud Functions / Cloud Run, Cloud Storage
Transformation Dataform or dbt - SQL models, assertions/tests, Git-based workflows
Orchestration Cloud Composer (Airflow), Cloud Workflows, Eventarc
Governance & catalog Dataplex / Knowledge Catalog - glossary, policy tags, lineage, column-level
security
Observability Cloud Monitoring + Logging - SLIs/SLOs, alerting, data quality metrics
IaC & CI/CD Terraform, GitHub Actions, Secret Manager, least-privilege IAM
Analytics & AI Looker, Power BI, Vertex AI, Gemini
What You Bring
• 5-8+ years of professional data engineering experience.
• Deep, expert-level proficiency with Python.
• Deep, expert-level proficiency with SQL.
• Hands-on, expert-level experience with BigQuery and the wider Google Cloud data stack.
• Hands-on experience with a SQL transformation framework - Dataform or dbt.
• Deep expertise in designing and architecting scalable data platforms, including batch and streaming ingestion
patterns.
• Strong infrastructure-as-code practice - Terraform (or equivalent) and CI/CD.
• Proven ability to lead complex, ambiguous projects from conception to delivery.
• Experience mentoring other engineers and helping to level up the team.
• Exceptional communication skills, the flexibility to think fast, and the credibility to present a decision to technical
and non-technical audiences alike.
• A "builder" mindset, a startup mentality, and a genuine thirst for knowledge.
Bonus Points (Nice-to-Haves)
• Experience with GenAI, AI/ML frameworks, and MLOps - including data modeling and metadata that gets a
client ready for agentic workloads.
• Looker / LookML, Power BI, or other BI tooling on top of a cloud warehouse.
• Change-data-capture and real-time streaming at production scale.
• Data governance and catalog work - glossary, policy tags, lineage, data contracts.
• Cross-platform depth - AWS, Databricks, or Snowflake. We meet clients where they are.
• Certifications in GCP, Databricks, Snowflake, or AWS.
Why You'll Love It Here
  • Our Product is Our People: We live by this. We invest in people who invest in themselves. Your growth is our growth.
  • True Servant Leadership: Our CTO leads with a "force multiplier" philosophy. Management is here to empower you and clear roadblocks, not to micromanage. We won't ask you to do anything we're not willing to do ourselves.
  • Flat Organization, Real Impact: Your voice and designs will directly shape our technical roadmap and our clients' success. You'll work on the latest tech to solve real problems.
  • A "Learn-from-it" Culture: We're moving fast and building new things. We believe mistakes are learning opportunities, not failures.

We seek diverse talent who are ready to make an immediate impact. We believe that innovation thrives when teams are built with a variety of backgrounds, experiences, and perspectives. If you are excited by this mission, we encourage you to apply, even if your experience doesn't perfectly match every qualification listed.
Megazone Cloud is an Equal Opportunity Employer and participates in E-Verify to confirm the employment eligibility of all new hires.