ZipRecruiter

Log In

2

Remote Databricks Jobs in New York (NOW HIRING)

TMS

Control-M Developer - Data Engienering

Edison, NJ · Remote

$50.50 - $69/hr

Remote Experience: 10+ years Duration: 6+ Months Employment Type: Contract Job Summary We are ... Integrate Control-M with cloud-native services (S3, ADLS, Lambda, Databricks, etc.) * Use shell ...

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 within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both ...

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 within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both ...

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 within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both ...

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 within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both ...

EDPSI

Commercial Lending Business Analyst

Manhattan, NY · On-site +1

... remote About the Role Seeking a highly skilled Technical Business Analyst for our direct client ... Write and execute complex SQL queries (across Oracle, Databricks, Snowflake etc.) against the Loan ...

NinjaOne

Tableau Analyst

New York, NY · On-site +1

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Write performant SQL to explore, model, and surface data from our Databricks lakehouse. * Support ...

next page

Showing results 1-20

All JobsRemote Databricks JobsRemote Databricks Jobs in New York

Remote Databricks information

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

To thrive as a Remote Databricks Engineer, you need a strong background in data engineering, cloud computing (especially Azure or AWS), and proficiency in languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks platform tools, Spark, SQL, and relevant certifications such as Databricks Certified Data Engineer Associate are typically required. Strong problem-solving, communication, and self-motivation skills help you excel in remote and collaborative data-driven environments. These skills are essential for efficiently designing scalable data solutions and collaborating virtually to drive business value.

How does a remote Databricks engineer typically collaborate with cross-functional teams?

As a remote Databricks engineer, you will frequently work with data scientists, analysts, and other engineers through virtual collaboration tools such as Slack, Jira, and Zoom. Regular stand-up meetings, code reviews, and shared documentation platforms help maintain alignment across distributed teams. You'll often contribute to shared Databricks notebooks and participate in sprint planning to ensure data pipelines and analytics workflows meet business requirements. Effective communication and proactive documentation are key to successful remote collaboration in this role.

What are remote Databricks jobs?

Remote Databricks jobs are positions that involve working with the Databricks data analytics platform from a location outside of a traditional office, typically from home or another remote setting. These roles often focus on developing data pipelines, analyzing big data, building machine learning models, or managing cloud infrastructure using Databricks. Employees use collaboration tools and cloud-based environments to connect with their teams and access the Databricks platform securely. Remote Databricks jobs may be available for data engineers, data scientists, machine learning engineers, and DevOps professionals. The flexibility of remote work allows professionals to collaborate with global teams while leveraging Databricks’ powerful data processing and analytics capabilities.
What are the most commonly searched types of Databricks jobs in New York? The most popular types of Databricks jobs in New York are:
What are popular job titles related to Remote Databricks jobs in New York? For Remote Databricks jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Databricks jobs in New York look for? The top searched job categories for Remote Databricks jobs in New York are:
What cities in New York are hiring for Remote Databricks jobs? Cities in New York with the most Remote Databricks job openings:
Remote Databricks jobs near you
Infographic showing various Remote Databricks job openings in New York as of June 2026, with employment types broken down into 47% Full Time, 35% Part Time, 9% Temporary, and 9% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Senior ML Data Engineer

Futran Tech Solutions Pvt. Ltd.

Lyndhurst, NJ • Remote

$107K - $146K/yr

Other

Posted 23 days ago

Job description

About Us:
LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree - a Larsen & Toubro Group company - combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit .
Job Title:
Senior ML Data Engineer
Work Location:
Lyndhurst, NJ
Work Mode:
Remote
Job Description:
Senior ML Data Engineer Feature Engineering ETL
We seek a talented Senior Data Engineer with ML feature engineering expertise to join our Consumer ML team This role involves designing and implementing advanced feature engineering and ETL pipelines to enable robust machine learning applications The ideal candidate has hands-on experience with Databricks a deep understanding of the medallion architecture and a proven track record of supporting the end-to-end ML lifecycle Experience with MLflow and an aptitude for creating data driven insights are highly desirable.
Key Responsibilities
Feature Engineering Data Integration Develop and maintain feature engineering pipelines using Databricks to support ML models effectively
Data Pipeline Development Integrate diverse data sources eg clickstreams user behaviour demographic data to create user behaviour features profiles for complex ML tasks
Medallion Architecture Design and implement ETL, ELT pipelines aligned with the bronze silver and gold layers of the medallion architecture
Model Support Build data pipelines to support ML model training calibration and deployment leveraging MLflow for experiment tracking and performance monitoring
Query Optimization Low Latency Pipelines Design low latency production ready data pipelines to support real-time and batch model inference
CICD Practices Apply CICD principles for seamless pipeline deployment
Data Governance Ensure pipelines comply with security and regulatory standards particularly for handling PII and maintain metadata and master data across the data catalogue
Collaboration Work closely with ml scientists ml engineers and other stakeholders to align data transformation with business objectives
Qualifications
7 years in data engineering and at least 4 years focusing on ML feature engineering ETL pipeline development and data preparation for ML
Proven experience managing pipelines on Databricks using Apache Spark with a strong understanding of the medallion architecture
Familiarity with ML lifecycle management with MLflow experience as a strong plus and advanced skills in Apache Spark PySpark for big data processing and analytics
Proficient in Python for data manipulation and SQL for query optimization
Experience building pipelines for real-time and batch model serving in production environments and knowledge of CICD practices for ETLELT pipeline development
Expertise in metadata and master data management within technical data catalogues
Understanding of data security and compliance especially with sensitive data like PII

Apply