151 cloud data engineer jobs at 59 companies in Springtown, TX
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Principal Cloud Data Engineer
Coppell, Texas, United States
OnsiteFull Time
Newrez: Provides residential mortgage lending and loan servicing solutions.
7+ YOE7+ years data engineering experience; strong hands-on Python, SQL, Spark; experience with cloud data lakes/lakehouses/warehouses, data quality, metadata, lineage, and governance; strong debugging and communication skills.
Lead Cloud Data Engineer - Multi-Cloud Data Platforms
Irving or Chicago or Hopkins
$133k-$157k/yrHybridFull Time
U.S. BankNYSE: USB: Provider of personal, business, and institutional financial services.
6+ YOE6+ years experience building cloud-native data pipelines and products across Azure, AWS, Databricks, and Snowflake; strong Spark and SQL skills; experience with security, governance, and domain-oriented data architectures.
Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, AWS Glue, S3, Databricks, Snowflake, Apache Spark, Delta Lake, SQL, REST, SOAP, GraphQL, Kafka, MQ, AWS SQS, RabbitMQ, API Gateway, OAuth 2.0, TLS, mTLS, JWT, IAM, RBAC, Microsoft Power BI, Tableau
Auto Club Enterprises: Provides roadside assistance, insurance, and travel services to members.
Design, deploy, and maintain cloud data infrastructure on AWS/GCP; build and optimize data pipelines; implement CI/CD; strong automation, networking, Linux, and scripting skills.
3+ YOEBachelor's degree required, minimum 3 years experience, strong data engineering and analysis skills, Azure/cloud experience preferred, familiarity with Java, PostgreSQL, Python, APIs, and Microsoft Office; strong analytical and communication skills.
Microsoft Azure, Java, PostgreSQL, Python, Microsoft Office, Microsoft PowerPoint, Microsoft Word, Microsoft Project
3+ YOE3+ years experience, Bachelor’s degree in IT or related field required, strong data engineering and analysis skills, Azure experience, scripting, API development, and SOX/internal controls familiarity.
Microsoft Azure, Java, PostgreSQL, Python, Microsoft Office, PowerPoint, Word, MS Project
Charles SchwabNYSE: SCHW: Financial services, brokerage, and investment management provider.
8+ YOE8+ years data engineering, 2+ years project lead, 3+ years financial services; expertise in ETL, data quality, SQL, Google Cloud (BigQuery, Dataflow, Cloud Storage, Composer, Pub/Sub), Informatica (IDMC/IICS), Python; data warehouse concepts and governance; degree in CS/IT or related.
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
8+ YOE8+ years data engineering experience with big data (Hadoop/Cloudera), strong Python and SQL skills, UNIX, cloud (AWS/Azure), data stores (Hive/HBase/Elastic), CI/CD and leadership experience.
GM Financial: Provides automotive financing and leasing services for dealers and consumers.
2+ YOEExperience with Adobe Experience Platform/XDM/RTCDP, REST APIs, cloud (Azure/AWS/GCP), SQL, big data (Hadoop, Spark, Kafka), NoSQL, ETL, Python, Databricks, Agile; Bachelor’s degree and 2+ years data engineering experience.
Wells FargoNYSE: WFC: Global provider of banking, investment, and mortgage financial services.
5+ YOE5+ years database and cloud data management experience (GCP preferred), 5+ years Python or Java with Spark/SQL, orchestration and CI/CD experience, BigQuery/Dataflow/Dataproc knowledge, ability to support off-hours; not eligible for visa sponsorship.
Fidelity Investments: Provides investment management, retirement planning, and brokerage services.
3+ YOEBachelor's (5 yrs) or Master's (3 yrs) in CS/Engineering/IT and experience building cloud data warehouses and ELT pipelines (Snowflake, Redshift, AWS/Azure, Python, Informatica, SnapLogic); BI tools (Oracle Analytics Server, Power BI, Tableau); CI/CD and DevOps.
Snowflake, Redshift, AWS, Azure, Python, Informatica, SnapLogic, Oracle Analytics Server (OAS), Power BI, Tableau, Oracle Business Intelligence (OBIEE), Hyperion Interactive Reporting, SQL, PL/SQL, UNIX Shell, Control-M, Jenkins, Jenkins Core, Stash, Bitbucket, GitHub, IBM uDeploy, Ansible, DB2, VSAM, zNFS
Signet JewelersNYSE: SIG: Global retailer of diamond jewelry and professional jewelry services.
Expert SQL and Python skills, data modeling experience, hands-on Adobe AEP and RTCDP experience, familiarity with AWS data services (S3, Redshift, Glue), and cloud data platforms (Snowflake, BigQuery, Azure).
American AirlinesNASDAQ: AAL: Operates a global network of passenger and cargo flights.
4+ YOEBachelor's in CS/Engineering/Information Systems or equivalent,4+ years building data solutions with SQL, Python, Spark and Microsoft Azure,experience with DevOps/CI/CD and cloud data engineering.
SQL, Python, Spark, Microsoft Azure, Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks
CitiNYSE: C: Providing global banking, investment, and wealth management services.
8+ YOE5+ Mgmt8+ years in Big Data or large-scale apps development (Databricks, Scala, Java, Python); 5+ years in data engineering lead roles; experience with Hadoop, Spark, Kafka, Hive, Parquet, Avro, SQL, ETL/ELT, microservices, containerization, cloud platforms; Bachelor’s in CS/Engineering.
NagarroFrankfurt Stock Exchange: NA9: Global provider of digital engineering and IT consulting services
8+ YOE8+ years experience building cloud data pipelines and lakehouse/medallion architectures; strong SQL and Python; experience with Databricks, Snowflake, AWS or Azure; manufacturing/OT familiarity preferred.
VerizonNYSE: VZ: Global provider of wireless, internet, and communication services.
Bachelor's degree or 4+ years' experience,6+ years relevant experience,experience with data management, Looker/LookML, BigQuery/Google Cloud Platform, SQL, ETL, visualization and dashboard design.
Looker, Qlik, LookML, Google Cloud Platform, BigQuery, Vertex AI, Looker Studio Pro, SQL, Python, JS, R
Omnicom GroupNYSE: OMC: Global holding providing marketing and communication services.
1+ YOE1+ years data engineering experience, bachelor’s in a quantitative field, experience building/optimizing data pipelines and architectures, familiarity with big data, databases, pipeline tools, scripting, container orchestration, and cloud platforms.