Salesforce Developer
Role details
Job location
Tech stack
Job description
Power BI Metadata Indexing Dashboard Debugging Operations Management Data Entry Governance Scalability Data Quality Transact-SQL Communication Data Strategy Data Profiling Data Processing Data Dictionary Quality Scoring Azure Databricks Machine Learning Data Engineering Stored Procedure Data Architecture Anomaly Detection Business Valuation Data Preprocessing Workflow Management Metadata Management Business Intelligence Full Stack Development Master Data Management Artificial Intelligence Business Transformation SQL (Programming Language) Critical Illness Insurance Extract Transform Load (ETL) Key Performance Indicators (KPIs) SQL Server Integration Services (SSIS) Tableau (Business Intelligence Software), 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.
MUST HAVE 8-10 years of 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., Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools. Related Jobs Data Quality Analyst TEKsystems Montgomery, AL*Hybrid Auditing Power BI Metadata Indexing Dashboard Debugging Operations Management Data Entry Governance Scalability Data Quality Transact-SQL Communication Data Strategy Data Profiling Data Processing Data Dictionary Quality Scoring Azure Databricks Machine Learning Data Engineering Stored Procedure Data Architecture Anomaly Detection Business Valuation Data Preprocessing Workflow Management Metadata Management Business Intelligence Full Stack Development Master Data Management Artificial Intelligence Business Transformation SQL (Programming Language) Critical Illness Insurance Extract Transform Load (ETL) Key Performance Indicators (KPIs) SQL Server Integration Services (SSIS) Tableau (Business Intelligence Software) +0
Requirements
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).
Skills
Sql, Power bi, tsql, Data, Data analysis
Top Skills Details
Sql,Power bi,tsql,Data,Data analysis
Benefits & conditions
This is scheduled to be a long-term contract. No remote work will be allowed during the duration of the contract.
Experience Level
Intermediate Level Job Type & Location
This is a Contract position based out of Montgomery, AL. Pay and Benefits
The pay range for this position is $35.00 - $60.00/hr.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
- Medical, dental & vision
- Critical Illness, Accident, and Hospital
- 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
- Life Insurance (Voluntary Life & AD&D for the employee and dependents)
- Short and long-term disability
- Health Spending Account (HSA)
- Transportation benefits
- Employee Assistance Program
- Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type