ZipRecruiter

Log In

1

Contract Databricks Developer Jobs in Ridgefield Park, NJ

Intone Networks Inc.

python developer

Manhattan, NY · On-site

$100 - $150/hr

This is a contract position for a Frontend Developer with Python capabilities, based in the New ... Databricks, NumPy, Scikit-learn, NLTK, Pandas, Dask, and LLMs. #J-18808-Ljbffr

Accord Technologies Inc.

Sr. Data Engineer with ML

New York, NY · On-site

$125K - $150K/yr

W2 contract Data Engineer with Python and hands on experience using MLFlow - the project is to set ... The ideal candidate will have experience working with MLflow, Databricks, and open-source machine ...

Mondo

Data Engineer

Manhattan, NY · Remote

$70 - $80/hr

Remote (EST hours preferred) Duration: 4 Month Contract (through end of 2026) Pay Range: $70-80 ... Build and maintain dbt models as part of the new Databricks-based data architecture * Support Data ...

BuzzClan LLC

Senior AI & Platforms Engineer

Brooklyn, NY

$113K - $156K/yr

NYC, NY (3 days onsite minimum) Contract Need only local candidates who can go for F2F. Job Summary ... Snowflake, Databricks (Unity Catalog, Delta Lake), or Lakehouse architectures. * DevOps & AIOps:

BuzzClan LLC

Senior AI & Platforms Engineer

Brooklyn, NY · On-site

$113K - $156K/yr

NYC, NY (3 days onsite minimum) Contract Need only local candidates who can go for F2F. Job Summary ... Snowflake, Databricks (Unity Catalog, Delta Lake), or Lakehouse architectures. * DevOps & AIOps:

previous pagenext page

Showing results 21-40

All JobsContract Databricks Developer JobsContract Databricks Developer Jobs in Ridgefield Park, NJ

Contract Databricks Developer information

See Ridgefield Park, NJ salary details

$22

$65

$85

How much do contract databricks developer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for contract databricks developer in Ridgefield Park, NJ is $65.99, according to ZipRecruiter salary data. Most workers in this role earn between $59.33 and $73.03 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 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 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 most commonly searched types of Databricks Developer jobs in Ridgefield Park, NJ?

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

What cities near Ridgefield Park, NJ are hiring for Contract Databricks Developer jobs?

Cities near Ridgefield Park, NJ with the most Contract Databricks Developer job openings:

Contract Databricks Developer jobs near you

Lead Data Architect - Databricks & AWS

Software Guidance & Assistance

Manhattan, NY • On-site

Other

Re-posted 7 days ago

Key responsibilities

  • Architect scalable data processing frameworks leveraging Databricks platform for analytical workloads

  • Design and architect ETL/ELT pipelines supporting ingestion, transformation, and distribution of analytic datasets

  • Partner with product owners, architects, data engineers, analysts, and application teams to translate requirements into technical architectures

Job description

Software Guidance & Assistance, Inc., (SGA), is searching for a Lead Data Architect - Databricks & AWS for a Contract assignment with one of our premier Financial Services clients in New York, NY.
Responsibilities :
  • Architect scalable data processing frameworks leveraging Databricks platform for analytical workloads
  • Implement cost-optimization strategies balancing compute resources, storage tiering, and cluster configurations
  • Develop and maintain coding standards for PySpark/Python within Databricks notebooks ensuring maintainability and performance
  • Design and architect ETL/ELT pipelines supporting ingestion, transformation, and distribution of analytic datasets.
  • Design Databricks workspace architectures integrating Unity Catalog for centralized governance, AWS IAM for authentication, and cross-account data access patterns.
  • Design data quality frameworks and validation logic within processing workflows
  • Understanding of complex SQL queries and Spark transformations for data manipulation, aggregation, and analytical computations
  • Establish patterns for incremental processing, change data capture, and historical data management
  • Architect MLOps pipelines for model deployment and monitoring using AWS services, Domino Data Lab, and related platforms
  • Implement CI/CD workflows using GitLab for data pipeline deployment and version control
  • Establish infrastructure-as-code practices for environment consistency and disaster recovery
  • Establish data governance frameworks within centralized data lake environment
  • Design dimensional data models and semantic layers optimized for Tableau and BI consumption
  • Explore and implement generative AI capabilities
  • Partner with product owners, architects, data engineers, analysts, and application teams to translate requirements into technical architectures
  • Mentor team members on best practices for Spark optimization, data modeling, and cloud-native design patterns
  • Evaluate emerging technologies and platforms for potential adoption into the data ecosystem
  • Document architectural decisions, design patterns, and technical standards
Required Skills :
  • Bachelor's degree in computer science or similar field with 8+ years of related work experience.
  • 8+ years of experience in data architecture, data engineering or database design and large-scale enterprise cloud data implementations in complex, highly regulated environments with Databricks platform. Deep understanding of modern data technology stacks, cloud data platforms (AWS preferred), and enterprise software solutions.
  • 5+ years of experience in Tableau visualization preferred.
  • Demonstrated experience designing, architecting and supporting applications with a strong emphasis on scalability, security, availability and performance. Demonstrated knowledge of and leading adoption of industry best practices in the areas of DataOps and modern data stack tools, data governance, SQL and other query tools.
  • Demonstrated experience in cloud data architecture skills including designing, architecting and delivering modern cloud data platforms to ingest, process, store and expose data across the enterprise. Expert knowledge of data modeling techniques and tools, data lifecycle management and integration patterns to ensure that data flows are consistent, reliable and reusable across services and solutions. Experience with data storage technologies, partitioning strategies, caching, data access patterns, and robust security strategies enforcing privacy and regulatory requirements including designing standardized approaches for data classification, access control, encryption, retention and auditability. Knowledge of data lake houses, data warehousing concepts and data governance.
  • Outstanding communication and collaboration skills, including translating technical topics and risks into business teams. Ability to personalize communication to audience from technologists to executive leadership.
  • Extensive, in-depth experience implementing highly complex technology projects in a cross-functional matrix environment with demonstrated ability to drive consensus and deliver results. Examples of leading through influence and successfully resolving conflicting priorities are required.
SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .
SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy

Apply