We are looking for a highly skilled Databricks Developer with expertise in building and managing modern data platforms using the Databricks Lakehouse architecture. The ideal candidate will have ...
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We are looking for a highly skilled Databricks Developer with expertise in building and managing modern data platforms using the Databricks Lakehouse architecture. The ideal candidate will have ...
New
Become a part of our caring community (remote in posted locations) The Lead, DevSecOps Architecture ... Databricks * Azure Data Lake Storage Gen2 * Enterprise data lake patterns * Experience leading ...
Become a part of our caring community (remote in posted locations) The Lead, DevSecOps Architecture ... Databricks * Azure Data Lake Storage Gen2 * Enterprise data lake patterns * Experience leading ...
Become a part of our caring community (remote in posted locations) The Lead, DevSecOps Architecture ... Databricks * Azure Data Lake Storage Gen2 * Enterprise data lake patterns * Experience leading ...
Become a part of our caring community (remote in posted locations) The Lead, DevSecOps Architecture ... Databricks * Azure Data Lake Storage Gen2 * Enterprise data lake patterns * Experience leading ...
Technical Product Leader
Louisville, KY · On-site +1
$160K - $185K/yr
Snowflake or Databricks. * Salesforce experience, including working with Accounts, Contacts ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...
Technical Product Leader
Louisville, KY · On-site +1
$160K - $185K/yr
Snowflake or Databricks. * Salesforce experience, including working with Accounts, Contacts ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...
Technical Product Leader
Louisville, KY · On-site +1
$160K - $185K/yr
Snowflake or Databricks. * Salesforce experience, including working with Accounts, Contacts ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...
Technical Product Leader
Louisville, KY · On-site +1
$160K - $185K/yr
Snowflake or Databricks. * Salesforce experience, including working with Accounts, Contacts ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...
Technical Product Leader
Louisville, KY · On-site +1
$160K - $185K/yr
Snowflake or Databricks. * Salesforce experience, including working with Accounts, Contacts ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...
Technical Product Leader
Louisville, KY · On-site +1
$160K - $185K/yr
Snowflake or Databricks. * Salesforce experience, including working with Accounts, Contacts ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...
Remote Databricks information
What is a remote Databricks engineer?
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.
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 the key skills and qualifications needed to thrive as a remote Databricks engineer?
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.
What are the most commonly searched types of Databricks jobs in Louisville, KY?
The most popular types of Databricks jobs in Louisville, KY are:
What are popular job titles related to Remote Databricks jobs in Louisville, KY?
For Remote Databricks jobs in Louisville, KY, the most frequently searched job titles are:
What job categories do people searching Remote Databricks jobs in Louisville, KY look for?
The top searched job categories for Remote Databricks jobs in Louisville, KY are:
Full-time
Posted yesterday
New
Job description
We are looking for a highly skilled Databricks Developer with expertise in building and managing modern data platforms using the Databricks Lakehouse architecture. The ideal candidate will have strong experience in PySpark, Python, SQL, Delta Lake, data modeling, data quality frameworks, and enterprise-scale data engineering solutions. The role involves designing, developing, and optimizing scalable data pipelines that support analytics, reporting, and AI/ML initiatives.
Key Responsibilities
Design and implement scalable data solutions using Databricks Lakehouse Architecture.
Develop and maintain data pipelines using PySpark, Python, and SQL.
Build and optimize ETL/ELT workflows for batch and near real-time data processing.
Implement Delta Lake features including ACID transactions, time travel, schema evolution, and data versioning.
Design and maintain enterprise data models to support reporting and analytics requirements.
Ensure data quality through validation, monitoring, reconciliation, and governance controls.
Develop and manage data catalogs, metadata management, and data lineage processes.
Collaborate with business stakeholders, architects, and analytics teams to gather and translate requirements into technical solutions.
Optimize Databricks workloads for performance, scalability, and cost efficiency.
Implement security, access controls, and governance best practices within the Databricks ecosystem.
Support troubleshooting, root cause analysis, and production issue resolution.
Contribute to data platform modernization and cloud migration initiatives.
Required Technical Skills
Databricks
Strong experience with Databricks Architecture and platform administration.
Hands-on expertise in Databricks Lakehouse Architecture.
Deep understanding of Delta Lake concepts and implementation.
Experience with Unity Catalog / Data Catalog and metadata management.
Knowledge of Databricks Workflows, Jobs, Clusters, and Performance Tuning.
Data Engineering
Strong proficiency in PySpark for large-scale data processing.
Advanced Python programming skills.
Expert-level SQL development and query optimization.
Experience in building robust ETL/ELT pipelines.
Strong understanding of data modeling techniques including:
Star Schema
Snowflake Schema
Dimensional Modeling
Data Vault (preferred)
Data Governance & Quality
Experience implementing data quality frameworks and validation checks.
Knowledge of data lineage, metadata management, and governance processes.
Experience with data reconciliation, profiling, and monitoring tools.
Cloud & Platform Experience (Preferred)
Azure Databricks
Azure Data Lake Storage (ADLS)
Azure Data Factory
Azure Synapse Analytics
CI/CD pipelines (Azure DevOps, GitHub Actions)
Qualifications
Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field.
4-8 years of experience in Data Engineering and Analytics.
Minimum 3+ years of hands-on experience with Databricks and PySpark.
Experience working in Agile development environments.
About Delan Associates
Sourced by ZipRecruiter
Company size
51 - 200 Employees
Headquarters location
Freeport, NY, US
Year founded
2002