4 dataops engineer jobs at 4 companies in Waxhaw, NC

3mo
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DataOps Team Lead (Hybrid)
Short Hills or Charlotte
$130k-$176k/yr HybridFull Time
Selective Insurance
Selective InsuranceNASDAQ: SIGI: Provider of commercial and personal property and casualty insurance.
8+ YOE8+ years in data engineering/analytics/platform engineering; strong leadership; cloud data platforms; Databricks or lakehouse; Data pipelines; CI/CD; data modeling; PySpark and SQL; strong communication.
Databricks, Airflow, Dagster, dbt, Azure DevOps, GitHub Actions, GitLab, PySpark, SQL, Azure, AWS, GCP, Event Hubs, Kafka, Kinesis, DataOps, lakehouse, CI/CD
3w
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GCP Data Engineer
Charlotte or Chicago or Columbus or Hartford
$101k-$151k/yr HybridFull Time
The Hartford
The HartfordNYSE: HIG: Provides property and casualty insurance and financial products.
Requires hands-on GCP experience, Python and SQL proficiency, enterprise data pipeline experience, secure cloud solution design, software engineering practices, and strong problem-solving and collaboration skills.
Google Cloud Platform, BigQuery, Google Cloud Storage, Cloud Composer, Dataplex, GitHub Copilot, Python, SQL, Informatica IDMC/CDGC, Collibra, Snowflake, Terraform, CI/CD, DataOps, DevSecOps, IAM, APIs, ETL/ELT, Infrastructure-as-Code
1mo
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Principal, AI Data Strategy & Integrations Tech Lead
Charlotte or New York City
HybridFull Time
Intapp
IntappNASDAQ: INTA: Cloud business management software for professional and financial services.
8+ YOE8+ years in data strategy, data engineering or integrations; experience with MDM, API/event-driven architectures, ETL/ELT, AI/ML data pipelines, DevOps/DataOps practices, and enterprise data governance.
Kafka, MQ, GitHub Actions, Azure DevOps, Docker, Kubernetes, Terraform, Boomi, MuleSoft, Informatica, AWS, Azure, GCP, SQL, Python
1d
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Director, Global Data Engineering
Charlotte, North Carolina, United States
OnsiteFull Time
Circle K
Circle KToronto Stock Exchange: ATD: Operates a chain of convenience stores and fuel stations.
12+ YOE5+ MgmtBachelor’s degree in a related field, 12+ years in data engineering or related technology, and 5+ years leading managers and large global engineering organizations. Cloud modernization and enterprise transformation experience required.
Azure, Snowflake, Databricks, ETL, ELT, APIs, DataOps, DevOps, CI/CD, machine learning, generative AI