Top 22 Data analyst developer Jobs in Fort Wayne, In

Data Engineer I
Parkview Health —Fort Wayne, IN
- Full-time
- Computer Science
- System design
- Mid-level
5d
Financial Systems Analyst / Developer
Steel Dynamics, Inc. —Fort Wayne, IN
- Mid-level
- Office
- Analysis skills
Senior Application Developer
Franklin Electric —Fort Wayne, IN
- Weekends as needed
- Hybrid work
- Azure
- Computer Science
- Mid-level
- Paid parental leave
- Paid holidays
Quick Apply
11h
Senior SAP ABAP Developer (Hybrid work schedule)
Parts Town —Fort Wayne, IN
- $117,683.06 - $158,817.00 a year
- Hybrid work
- Computer science
- Computer Science
- Residential
- Profit sharing
- Paid parental leave
Quick Apply
SAP Quality and Automation Lead (Hybrid work schedule)
Parts Town —Fort Wayne, IN
- $120,722.12 - $176,414.35 a year
- Hybrid work
- Computer science
- 6 years
- Computer Science
- Profit sharing
- Paid parental leave
Quick Apply
Integration Interface Engineer
Parkview Health —Fort Wayne, IN
- Full-time
- Computer Science
- Mid-level
- JavaScript

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data analyst developer jobs near fort wayne, in

Data Engineer I

Parkview Health -
Fort Wayne, IN

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Job Details

Full-time
5 days ago

Qualifications

Data integrity assurance
Commercial use (data warehousing systems)
Records maintenance
Cloud analytics services
Databricks
Data Integration (Data management)
Bachelor's degree in information technology
Computer Science
Cloud data warehouses
Data validation techniques
Procedural guides
Associate's degree in computer science
Technical documentation
IT system monitoring
Spark
System design
Mathematics
Mid-level
System maintenance
System design for system development
Data integrity and documentation
Programming languages
EMR/EHR
AWS
Data integrity process (data warehousing)
IT experience within healthcare
Associate's degree in information technology
Azure Data Factory
Data analytics
System development

Full 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.

Location: Parkview Health · Business Intelligence
Schedule: Full Time Benefit Eligible, Days, 8-5

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Refine Your Search

data analyst developer jobs in fort wayne, in

Data Engineer I

Financial Systems Analyst / Developer

Senior Application Developer

Senior SAP ABAP Developer (Hybrid work schedule)

SAP Quality and Automation Lead (Hybrid work schedule)

Integration Interface Engineer

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