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Contract Databricks Developer Jobs in New York (NOW HIRING)

TMS

Control-M Developer - Data Engienering

Edison, NJ · Remote

$50.50 - $69/hr

Contract Job Summary We are seeking an experienced Control-M Developer with strong Data Engineering ... Integrate Control-M with cloud-native services (S3, ADLS, Lambda, Databricks, etc.) * Use shell ...

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 ...

Zettalogix INC

Machine Learning Engineer

Manhattan, NY

$126K - $151K/yr

Machine Learning Engineer Hybrid NYC, NY Duration: 6+ Months contract TECHNICAL SKILLS Must Have Applied Machine Learning Azure Databricks Big Data Analytics Databricks Certified Data Engineer ...

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Accord Technologies Inc.

Sr. Big Data Engineer

Weehawken, NJ · On-site

$60.50 - $80.25/hr

W2 contract. Our Challenge * As a Big Data Engineer, candidate will be instrumental in developing and optimizing big data technologies such as Apache Spark and Azure Databricks. * Candidate will ...

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Contract Databricks Developer information

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, and why are they important?

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.
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Contract Databricks Developer jobs near you

Senior Data Engineer (Banking)

Accord Technologies Inc.

New York, NY • On-site

$116K - $157K/yr

Contractor

Posted 19 days ago

Job description

Job Title: Senior Data Engineer (Banking)
Location: New York City, NY 
Position type: W2 contract
Mandatory skills: Data engineer, Snowflake, Databricks, Python, Pyspark, SQL, BankingKey Responsibilities

  • Design and develop robust ETL/ELT pipelines using Snowflake, Databricks, Python, PySpark, and SQL.

  • Build and optimize data warehouses, data marts, and real-time data solutions for banking applications.

  • Collaborate with quantitative analysts, data scientists, and business stakeholders to deliver actionable data products.

  • Implement data governance, quality checks, and monitoring frameworks aligned with banking regulations (SOX, GDPR, CCAR).

  • Mentor junior engineers and contribute to architectural decisions and best practices.

  • 9+ years of hands-on data engineering experience, with 3+ years in banking/financial services.

  • Expertise in Snowflake (SnowSQL, performance tuning, security) and Databricks (Delta Lake, Spark optimization).

  • Proficiency in Python and PySpark for large-scale data processing.

  • Advanced SQL skills for complex data modeling and query optimization.

  • Experience with cloud platforms (AWS/Azure) and CI/CD tools (Jenkins, Git).

  • Strong understanding of banking data domains: trading, risk, compliance, customer, transactions.
     

Certifications and additional skills:

  • SnowPro, Databricks Certified, AWS/Azure Cloud.

  • Knowledge of real-time streaming (Kafka, Spark Streaming).

  • Experience with data orchestration tools (Airflow, Dagster).

  • Familiarity with BI/visualization tools (Tableau, Power BI)