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Weekend Sql Jobs in Indiana (NOW HIRING)

Data Engineer I

Fort Wayne, IN

$113K - $135K/yr

Strong understanding of SQL for querying and manipulating relational databases. Exposure to data processing tools and frameworks - both on-premises and cloud based. (PySpark, ETL tools like SSIS, ...

Data Engineer I

Fort Wayne, IN · On-site

$113K - $135K/yr

Strong understanding of SQL for querying and manipulating relational databases. Exposure to data processing tools and frameworks - both on-premises and cloud based. (PySpark, ETL tools like SSIS, ...

Data Engineer I

Fort Wayne, IN · On-site

$105K - $126K/yr

... SQL. • Familiarity with relational databases like SQL Server. • Strong understanding of SQL for querying and manipulating relational databases. • Exposure to data processing tools and ...

Experience with Microsoft Visual Studio, SQL Server & T-SQL; Object Oriented Programming ... M-F; occasional weekends hours. 40 hours per week on average Direct Reports: None Travel: Limited ...

Data Engineer

South Bend, IN · Hybrid

$150K/yr

Strong experience with Azure data services (Azure Data Factory, Azure SQL, Synapse, etc.) * Hands-on experience with Databricks * Strong proficiency in Python and Spark * Experience developing and ...

SQL, including data/database migrations and complex queries against large tables * Basic knowledge ... Must be willing and available to work weekends and holidays as necessary and desirable to meet ...

Develop reports, dashboards, and visualisations using tools like Excel, SQL, Tableau, or Power BI. * Collaborate with cross-functional teams to support business objectives. * Interpret data to ...

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SQL, including data/database migrations and complex queries against large tables * Basic knowledge ... Must be willing and available to work weekends and holidays as necessary and desirable to meet ...

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Write and optimize complex code using Python and SQL * Build and manage data transformations using DBT and/or SQLMesh * Develop solutions within Databricks to support scalable data processing

Sr. Data Engineer

Indianapolis, IN

$109K - $131K/yr

Write and optimize complex code using Python and SQL * Build and manage data transformations using DBT and/or SQLMesh * Develop solutions within Databricks to support scalable data processing

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

You bring strong expertise in Snowflake, Azure, SQL, and ETL development, and you're comfortable working across the full data lifecycle, from ingestion through analytics enablement. You collaborate ...

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

You bring strong expertise in Snowflake, Azure, SQL, and ETL development, and you're comfortable working across the full data lifecycle, from ingestion through analytics enablement. You collaborate ...

Develop reports, dashboards, and visualizations using tools like Excel, SQL, Tableau, or Power BI. Collaborate with cross-functional teams to support business objectives. Interpret data to provide ...

Develop and execute SQL queries for data analysis, testing, and validation. * Create and maintain documentation including test plans, traceability matrices, work breakdown structures, and change ...

Data Engineer AI

Indianapolis, IN · On-site

$109K - $131K/yr

Your mission is to build the pipelines that bridge our legacy on-prem systems (Mainframes, SQL Server, DB2) with our modern Snowflake environment and AWS/Azure AI stacks. You are a "day-one" builder ...

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Weekend Sql information

What is the difference between Weekend Sql vs Weekend Data Analyst?

AspectWeekend SqlWeekend Data Analyst
Required SkillsSQL, database management, basic data queryingSQL, data analysis, visualization tools
Work EnvironmentRemote or on-site, project-basedRemote or on-site, analytical tasks
CertificationsSQL certifications, basic data certificationsSQL certifications, data analysis certifications
Industry UsageTech, finance, retailMarketing, finance, healthcare

Weekend Sql primarily focuses on writing and managing SQL queries to handle databases, while Weekend Data Analyst involves analyzing data sets, creating reports, and visualizations. Both roles require SQL skills, but Data Analysts typically need additional analytical and visualization skills. The choice depends on whether you prefer database management or data interpretation tasks.

Will AI replace SQL Developer?

AI is unlikely to fully replace SQL Developers, as their role involves designing, optimizing, and maintaining complex databases that require human expertise. While AI tools can assist with automation and data analysis, SQL Developers' skills in understanding business needs and writing tailored queries remain essential. Continuous learning of database management and related tools helps SQL Developers stay relevant in evolving technology environments.

What are Weekend SQL jobs?

Weekend SQL jobs are positions that require professionals to work primarily on weekends, focusing on tasks related to SQL (Structured Query Language). These roles often involve database management, writing and optimizing queries, data analysis, and ensuring database performance and security. Such jobs are ideal for individuals seeking flexible work schedules or additional income outside of standard weekday hours. Weekend SQL jobs can be found in a variety of industries, including IT, finance, and healthcare, where data services are needed around the clock.

What are the typical responsibilities and challenges for a Weekend SQL professional?

As a Weekend SQL professional, you will primarily focus on maintaining database systems, running data integrity checks, and supporting scheduled data operations during off-peak hours. One of the main challenges is troubleshooting issues with limited immediate team support, as fewer staff may be available on weekends. The role often requires strong problem-solving skills, the ability to work independently, and clear documentation for handover to weekday teams. Collaboration with remote or on-call staff may be necessary for escalations or major incidents.

What are the key skills and qualifications needed to thrive as a Weekend SQL Developer, and why are they important?

To thrive as a Weekend SQL Developer, you need advanced knowledge of SQL programming, database management, and a relevant degree or certification in computer science or information technology. Familiarity with database platforms like Microsoft SQL Server, MySQL, or Oracle, and experience with data visualization tools or ETL systems are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you solve problems efficiently and collaborate with remote or distributed teams. These abilities are crucial to ensure reliable data operations, timely issue resolution, and continuous support during off-peak hours.

Is SQL still in demand?

SQL remains a highly in-demand skill for data analysts, database administrators, and developers, as many organizations rely on relational databases for data management. Proficiency in SQL, along with knowledge of database management systems like MySQL, PostgreSQL, or SQL Server, continues to be valuable in various industries, especially with the growth of data-driven decision-making.

What jobs can I get with only SQL?

With SQL skills, you can pursue roles such as data analyst, database administrator, or data technician, which primarily require proficiency in querying and managing databases. These jobs often involve working with data warehouses, reporting tools, and may require knowledge of related tools like Excel or BI platforms. Entry-level positions may be available for those with basic SQL knowledge and a willingness to learn on the job.

Is SQL still used in 2026?

SQL remains a fundamental skill for data-related roles, including Weekend SQL positions, as it is widely used for managing and querying relational databases. Its importance persists due to ongoing reliance on structured data in many industries, and knowledge of SQL is often essential for database management, data analysis, and reporting tasks in 2026.
What are the most commonly searched types of Sql jobs in Indiana? The most popular types of Sql jobs in Indiana are:
Data Engineer I

$113K - $135K/yr

Full-time

Posted 27 days ago


Parkview Health rating

7.2

Company rating: 7.2 out of 10

Based on 271 frontline employees who took The Breakroom Quiz

328th of 877 rated healthcare providers


Job description

The Data Engineer Level I is focused on supporting the design, development, and maintenance of data systems and pipelines under the guidance of senior engineers. Assists in the collection, processing, and storage of data from various sources to ensure its availability for analysis and reporting. Supports data validation and maintains data quality within the data lake and data warehouse.

Key Responsibilities:

Data Management: Assists in developing and maintaining simple ETL processes. Supports building data pipelines to collect and move data from source systems to storage platforms. Helps with data cleaning and preprocessing to ensure high data quality. Monitors and troubleshoots data pipeline performance and address issues as they arise. Maintains system logs and ensures the smooth operation of data processes. Assists with maintaining and upgrading existing data infrastructure, including databases and data warehouses.

Collaboration: Works closely with senior data engineers and other teams to understand data needs and requirements.

Documentation: Documents data workflows, pipelines, and technical processes. Maintains clear and organized records for data sources and transformations.

Education: Associate's or Bachelor’s degree in Computer Science, Information Technology, Mathematics, or a related field; or the equivalent of 4 years practical experience in a comparable job. Microsoft Developer certification a plus, but not required.

Experience: 2 - 3 years of experience in a data engineering, data analysis, data warehouse development or related technical role. Healthcare experience desired, especially Epic (Electronic Health Record system). 

Technical Skills: Good understanding of data warehouse concepts and how they apply to data integration. Knowledge of programming languages such as Python, SQL. Familiarity with relational databases like SQL Server. Strong understanding of SQL for querying and manipulating relational databases. Exposure to data processing tools and frameworks - both on-premises and cloud based. (PySpark, ETL tools like SSIS, Azure data Factory etc.)

Communication & Teamwork: Ability to collaborate effectively with cross-functional teams, such as data scientists, analysts, and senior engineers. Strong attention to detail and ability to follow standard operating procedures.

Desirable Skills: Familiarity with cloud-based platforms like Databricks (AWS, Azure, GCP). Willingness to learn and develop skills in data engineering technologies.


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About Parkview Health

Sourced by ZipRecruiter

Parkview Health, headquartered in Fort Wayne, IN, US, operates within the healthcare industry providing a wide range of medical services and community wellness programs. These include primary care, specialty health services, emergency care, rehabilitation, and home health services among others. The non-profit health system was founded in 1878 and continues to serve its surrounding communities with a dedication to quality health and wellness.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Fort Wayne, IN, US

Year founded

1995