7 software engineer data jobs at 4 companies in Tuscaloosa, AL
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Software Engineer - Data
Hoover or Birmingham or Charlotte or Atlanta
$88k-$118k/yrOnsiteFull Time
Regions BankNYSE: RF: Provides retail, commercial banking, wealth management, and mortgage services.
3+ YOEBachelor's degree in computer science, computer engineering, or related field; 3+ years of experience. Requires Python, Spark, SQL, databases, data platforms, software testing, debugging, and systems analysis.
Pittsburgh or Strongsville or Birmingham or Dallas
$55k-$179k/yrOnsiteFull Time
PNC Financial ServicesNYSE: PNC: Provides banking, lending, and investment services to customers.
3+ YOEDesign and lead technical design and development of software solutions; experience with Spark3, Python, Hadoop/Cloudera, HDFS, Erwin, and data tooling; typically requires a bachelor\u0002s degree and 3+ years relevant experience.
Senior Software Engineer - Genesys cloud, IVR, Contact Center
Pittsburgh or Strongsville or Birmingham or Dallas
$55k-$172k/yrOnsiteFull Time
PNC Financial ServicesNYSE: PNC: Provides banking, lending, and investment services to customers.
5+ YOE5+ years in contact center engineering with 3+ years in Genesys Cloud; strong API and data integration experience; Java/REST, SQL; AWS/Azure familiarity; OAuth; problem solving in enterprise environment.
Pittsburgh or Cleveland or Dallas or Birmingham or Phoenix or Denver
$71k-$157k/yrOnsiteFull Time
CGINYSE: GIB: Provides information technology and business consulting services.
7+ YOE7+ years mobile development; 5+ years iOS with Swift, Swift UI and Objective C; experience with XCode, Core Data, RESTful APIs, Git, unit testing frameworks, app architecture (MVC/MVP/MVVM), and biometric/device capabilities.
Mission Pet Health: Operates a national network of veterinary hospitals and clinics.
8+ YOE8+ years in data/software/platform architecture; hands-on T-SQL, Microsoft SQL Server, SSAS, Microsoft Azure Data Factory; ClickHouse or similar; Python or Go; event-driven systems and Kubernetes; experience with AI-assisted engineering.
T-SQL, Microsoft SQL Server, SSAS, ClickHouse, Snowflake, BigQuery, Databricks, Python, Go, Microsoft Azure Data Factory, REST, NATS, CDC, Kubernetes, LLM