Senior Data Engineer

Montgomery, TX - USA

Monthly Salary: Not Disclosed

Posted on: 3 hours ago

Vacancies: 1 Vacancy

Job Summary

Position: Senior Data Engineer

Duration: 6 months

Location: Montgomery AL (Onsite from day 1)

Interview Mode: Either Webcam or In Person

Special Requirement:

Need candidates LinkedIn profile
If candidate requires relocation how long before they can start
Experienced data professional skilled in building and scaling data quality and governance foundations from scratch in low structure environments collaborating across business and IT to deliver AI ready data ecosystems.

Job Description:

Establish advance and mature data quality and governance capabilities in a green field low maturity data environment. Support enterprise analytics BI and AI/ML readiness through SQL/ETL engineering data profiling validation stewardship metadata management and early stage data architecture. Drive long term improvement of data standards definitions lineage and quality processes.

Responsibilities

Data Quality & Engineering

Perform data audits profiling validation anomaly detection and quality gap identification.
Develop automated data quality rules and validation logic using T SQL SQL Server stored procedures and indexing strategies.
Build and maintain SSIS packages for validation cleansing transformation and error detection workflows.
Troubleshoot ETL/ELT pipelines data migrations integration failures and data load issues.
Conduct root cause analysis and implement preventive and long term remediation solutions.
Optimize SQL queries tune stored procedures and improve data processing performance.
Document audit findings validation processes data flows standards and quality reports.
Build dashboards and reports for data quality KPIs using Power BI/Tableau.

Data Stewardship & Governance

Define maintain and enforce data quality standards business rules data definitions and governance policies.
Monitor datasets for completeness accuracy timeliness consistency and compliance.
Ensure proper and consistent data usage across departments and systems.
Maintain business glossaries data dictionaries metadata repositories and lineage documentation.
Partner with IT data engineering and business teams to support governance initiatives and compliance requirements.
Provide training on data entry data handling stewardship practices and data literacy.
Collaborate with cross functional teams to identify recurring data issues and recommend preventive solutions.

Green Field / Low Maturity Environment

Architect initial data quality frameworks validation layers governance artifacts and ingestion patterns.
Establish scalable data preparation workflows supporting analytics BI and AI/ML readiness.
Mature data quality and governance processes from ad hoc to standardized automated and measurable.
Drive adoption of data quality and governance practices across business and technical teams.
Support long term evolution of enterprise data strategy and governance maturity.

Required Technical Skills:

Advanced T SQL SQL Server development debugging and performance tuning.
SSIS development deployment and troubleshooting.
Data profiling validation rule design quality scoring and measurement techniques.
ETL/ELT pipeline design debugging and optimization.
Data modeling (conceptual logical physical).
Metadata management and lineage documentation.
Reporting and dashboarding with Power BI Tableau or similar tools.
Strong documentation and communication skills.

Preferred Skills

Knowledge of DAMA DMBoK DCAM MDM concepts and governance frameworks.
Experience in low maturity/green field data environments.
Familiarity with AI/ML data readiness and feature store aligned data structuring.
Cloud data engineering exposure (Azure Databricks GCP).

Required Skills:

Bachelors degree in Information Systems Computer Science Data Science Statistics Business Analytics or related field.
Masters degree preferred.
Required 6 years of experience in advanced T SQL SQL Server development debugging and performance tuning
Required 6 years of experience in SSIS development deployment and troubleshooting.
Required 6 years of experience in Data profiling validation rule design quality scoring and measurement techniques.
Required 6 years of experience in Metadata management and lineage documentation.
Required 6 years of experience in Reporting and dashboarding with Power BI Tableau or similar tools.
Required 6 years of experience in Strong documentation and communication skills.

Desired Skills:

Knowledge of DAMA DMBoK DCAM MDM concepts and governance frameworks.
Experience in low maturity/green field data environments.
Familiarity with AI/ML data readiness and feature store aligned data structuring.
Cloud data engineering exposure (Azure Databricks GCP).
DAMA CDMP (Associate/Practitioner) Certification
EDM Council DCAM Certification
ASQ Data Quality Credential Certification
Collibra Data Steward Certification
Certified Data Steward (eLearningCurve)
Cloud/AI certifications (Azure Databricks Google)

Position: Senior Data Engineer Duration: 6 months Location: Montgomery AL (Onsite from day 1) Interview Mode: Either Webcam or In Person Special Requirement: Need candidates LinkedIn profile If candidate requires relocation how long before they can start Experienced data professional skilled in ...