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Senior-level Data Engineering + Machine Learning + MLOps
Job Location:
Job Location:
Corpus Christi, TX - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
29 September 2026 (4 days ago)
Posted:
Application Deadline:
27 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
At Staffworxs we dont just connect talent we power transformation. Headquartered in Frisco TX with teams in Bengaluru and Hyderabad we combine global reach with deep expertise. Our Digital & Data Analytics practice drives growth and innovation for some of the worlds top brands who continue to retain us as their trusted partner. If youre ready to make an impact youre in the right place.
Job Details:
Title: Senior-level Data Engineering Machine Learning MLOps
Location: Corpus Christi TX Onsite
Duration: 12 months Contact
Responsibilities:
Required skills:
Advanced statistics and ML modeling (hypothesis testing experimentation feature engineering evaluation calibration). Strong SQL/Python for large-scale data wrangling (joins windows tuning cleansing reconciliation automated quality checks).
Data engineering for scalable batch/streaming pipelines (ETL/ELT CDC incremental Airflow/Prefect/Dagster).
Deep knowledge of modern data platforms (lakehouse/warehouse S3/ADLS Snowflake/BigQuery/Redshift Parquet/Delta/Iceberg partitioning access control). MLOps deployment with Docker Kubernetes CI/CD MLflow and endtoend monitoring.
Nice to have skills:
Build and maintain production-grade data pipelines (batch and streaming) with clear SLAs retries idempotency and automated backfills.
Integrate and model data across sources by defining schemas keys transformations and curated layers that support analytics and ML consumption.
Implement data quality observability and governance controls including validation rules lineage access controls and anomaly detection on data freshness and volume.
Productionize analytics and ML by packaging models deploying services or jobs managing versioning and monitoring drift performance and latency.
Serve trusted data products to consumers via optimized warehouse tables feature stores and APIs ensuring secure access and predictable query performance.
Staffworxs is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees regardless of race color religion gender sexual orientation national origin age disability or veteran status.
Job Details:
Title: Senior-level Data Engineering Machine Learning MLOps
Location: Corpus Christi TX Onsite
Duration: 12 months Contact
Responsibilities:
Required skills:
Advanced statistics and ML modeling (hypothesis testing experimentation feature engineering evaluation calibration). Strong SQL/Python for large-scale data wrangling (joins windows tuning cleansing reconciliation automated quality checks).
Data engineering for scalable batch/streaming pipelines (ETL/ELT CDC incremental Airflow/Prefect/Dagster).
Deep knowledge of modern data platforms (lakehouse/warehouse S3/ADLS Snowflake/BigQuery/Redshift Parquet/Delta/Iceberg partitioning access control). MLOps deployment with Docker Kubernetes CI/CD MLflow and endtoend monitoring.
Nice to have skills:
Build and maintain production-grade data pipelines (batch and streaming) with clear SLAs retries idempotency and automated backfills.
Integrate and model data across sources by defining schemas keys transformations and curated layers that support analytics and ML consumption.
Implement data quality observability and governance controls including validation rules lineage access controls and anomaly detection on data freshness and volume.
Productionize analytics and ML by packaging models deploying services or jobs managing versioning and monitoring drift performance and latency.
Serve trusted data products to consumers via optimized warehouse tables feature stores and APIs ensuring secure access and predictable query performance.
Staffworxs is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees regardless of race color religion gender sexual orientation national origin age disability or veteran status.
Required Experience:
Senior IC
