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 ...
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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 ...
New
Senior Analyst - Strategic Analytics
Louisville, KY · On-site +1
$84K - $111K/yr
US Based flexible on location - Hybrid/ Remote Options both available Contract Type: Permanent We ... Strong SQL and Python or R capability * Advanced analytical and problem-solving skills * Power BI ...
Senior Analyst - Strategic Analytics
Louisville, KY · On-site +1
$84K - $111K/yr
US Based flexible on location - Hybrid/ Remote Options both available Contract Type: Permanent We ... Strong SQL and Python or R capability * Advanced analytical and problem-solving skills * Power BI ...
US Based flexible on location - Hybrid/Remote Options Available Contract Type: Permanent We're ... Advanced SQL and Python or R capability. * Strong Power BI or data visualisation expertise.
US Based flexible on location - Hybrid/Remote Options Available Contract Type: Permanent We're ... Advanced SQL and Python or R capability. * Strong Power BI or data visualisation expertise.
Remote Python Sql information
See Louisville, KY salary details
$12.70 - $19.09
1% of jobs
$19.09 - $25.47
0% of jobs
$25.47 - $31.85
2% of jobs
$31.85 - $38.24
5% of jobs
$38.24 - $44.62
11% of jobs
$46.50 is the 25th percentile. Wages below this are outliers.
$44.62 - $51
18% of jobs
The median wage is $54.33 / hr.
$51 - $57.39
24% of jobs
$62.27 is the 75th percentile. Wages above this are outliers.
$57.39 - $63.77
18% of jobs
$63.77 - $70.15
13% of jobs
$70.15 - $76.53
5% of jobs
$76.53 - $82.92
3% of jobs
$12
$56
$82
How much do remote python sql jobs pay per hour?
As of Aug 27, 2026, the average hourly pay for remote python sql in Louisville, KY is $56.33, according to ZipRecruiter salary data. Most workers in this role earn between $46.44 and $63.99 per hour, depending on experience, location, and employer.
What is a remote Python SQL developer?
A Remote Python SQL job involves working with databases and backend systems using the Python programming language and SQL (Structured Query Language) while working from a location outside of a traditional office. Professionals in this role typically write code to query, manipulate, and analyze data stored in databases, automate data workflows, and build data-driven applications. Remote arrangements allow these tasks to be completed from anywhere with a stable internet connection, offering flexibility while still requiring strong technical and communication skills.
What skills and qualifications are needed to thrive as a remote Python SQL developer?
To thrive as a Remote Python SQL Developer, you need strong proficiency in Python programming and SQL database management, typically backed by a degree in computer science or related experience. Familiarity with tools like PostgreSQL, MySQL, version control systems (e.g., Git), and cloud platforms is commonly required, along with any relevant certifications. Excellent problem-solving, self-motivation, and effective remote communication skills set standout professionals apart in this role. These skills are crucial for efficiently building and maintaining robust data-driven applications while collaborating seamlessly in distributed teams.
What are common challenges faced by remote Python SQL developers, and how can they be addressed?
Remote Python & SQL Developers often face challenges such as effective communication with distributed teams, managing overlapping project priorities, and ensuring data security when accessing databases remotely. To address these, it's crucial to establish clear communication routines (like daily stand-ups), use collaborative tools (such as Slack or Jira), and strictly follow company protocols for secure database access. Proactively seeking feedback and documenting code also help maintain project alignment and code quality within a remote environment.
What is the difference between Remote Python Sql vs Remote Data Analyst?
| Aspect | Remote Python Sql | Remote Data Analyst |
|---|---|---|
| Required Skills | Python, SQL, data manipulation | Data visualization, SQL, statistical analysis |
| Work Environment | Remote, programming-focused | Remote, analysis and reporting |
| Industry Usage | Tech, finance, data-driven companies | Business, marketing, finance |
| Certifications | Python, SQL certifications | Data analysis, Excel, Tableau certifications |
Remote Python Sql roles focus on programming, data extraction, and database management, while Remote Data Analyst positions emphasize interpreting data, creating reports, and visualizations. Both roles often require SQL skills and can be found in similar industries, but they serve different functions within data teams.
What are the most commonly searched types of Python Sql jobs in Louisville, KY?
The most popular types of Python Sql jobs in Louisville, KY are:
What are popular job titles related to Remote Python Sql jobs in Louisville, KY?
For Remote Python Sql jobs in Louisville, KY, the most frequently searched job titles are:
What job categories do people searching Remote Python Sql jobs in Louisville, KY look for?
The top searched job categories for Remote Python Sql jobs in Louisville, KY are:
Databricks Developer (Remote)
Louisville, KY • Remote
Delan Associates, Inc •
51 - 200 employees51 - 200 employees
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