Scalence L.L.C. · 6 days ago
Senior SQL and ETL Engineer
Downey, CA
Full-time
Onsite
Senior Level
$52/hr - $52.08/hr
7+ years expScalence L.L.C. is seeking a Senior SQL and ETL Engineer to lead and work on complex IT applications. The role involves designing, developing, and optimizing applications software and ETL processes to meet business needs while ensuring high standards of quality and performance.
Information Technology & Services
Responsibilities
Leading and/or working on the most complex IT applications design, documentation, development, modification, testing, installation, implementation and support of new or existing applications software
Plan, install, configure, test, implement and manage a systems environment in support of an organization’s IT architecture and business needs
Analyzing and refining systems requirements
Translating systems requirements into applications prototypes
Planning and designing systems architecture
Writing, debugging and maintaining code
Determining and designing applications architecture
Determining output media/formats
Designing user interfaces
Working with customers to test applications
Assuring software and systems quality and functionality
Integrating hardware and software components
Writing and maintaining program documentation
Evaluating new applications software technologies
Ensuring the rigorous application of information security/information assurance policies, principles and practices to the delivery of application software services
Analyzing systems requirements in response to business requirements, risks and costs
Evaluating, selecting, verifying and validating the systems software environment
Evaluating, selecting and installing compilers, assemblers and utilities
Integrating hardware and software components within the systems environment
Monitoring and fine-tuning performance of the systems environment
Evaluating new systems engineering technologies and their effect on the operating environment
Ensuring that information security/information assurance policies, principles and practices are an integral element of the operating environment
Qualification
Required
Strong expertise in SQL, PL/SQL, and T-SQL with advanced query tuning, stored procedure optimization, and relational data modeling across Oracle, SQL Server, PostgreSQL, and MySQL
Proficiency in modern ETL/ELT tools including Azure Synapse Analytics, Azure Data Factory, and SSIS, with the ability to design scalable ingestion, transformation, and loading workflows
Ability to design and implement data warehouse data models (star schema, snowflake, dimensional hierarchies) and optimize models for analytics and large-scale reporting
Strong understanding of data integration, data validation, cleansing, profiling, and end-to-end data quality processes to ensure accuracy and consistency across systems
Knowledge of enterprise data warehouse architecture, including staging layers, data marts, data lakes, and cloud-based ingestion frameworks
Experience applying best practices for scalable, maintainable ETL engineering, including metadata-driven design and automation
Proficiency in Python and PySpark (and familiarity with Shell/Perl) for automating ETL pipelines, handling semi-structured data, and transforming large datasets
Experience handling structured and semi-structured data formats (CSV, JSON, XML, Parquet) and consuming REST APIs for ingestion
Knowledge of data security and compliance practices, including credential management, encryption, and governance in Azure
Expertise in optimizing ETL and data warehouse performance through indexing, partitioning, caching strategies, and pipeline optimization
Familiarity with CI/CD workflows using Git/GitHub Actions for ETL deployment across Dev, QA, and Production environments
Ability to collaborate with analysts and business stakeholders, translating complex requirements into actionable datasets, KPIs, and reporting structures
This classification must have a minimum of seven (7) years of experience in electronic data processing systems study, design, and programming. At least four (4) years of that experience must have been in a lead capacity
3 years of experience in the past 4 years developing and optimizing SQL, PL/SQL, and T-SQL logic, including stored procedures, functions, performance tuning, and advanced relational modeling across Oracle and SQL Server
3 years of experience in the past 4 years working with mainframe including data extraction, mapping, and conversion into modern ETL/ELT pipelines
3 years of experience in the past 4 years designing, orchestrating, and deploying ETL/ELT pipelines using Azure Synapse Analytics, Azure Data Factory, SSIS, and Azure DevOps CI/CD workflows
3 years of experience in the past 4 years building and maintaining enterprise data warehouses using Oracle, SQL Server, Teradata, or cloud data platforms
3 years of experience in the past 4 years working with big data technologies such as Apache Spark, PySpark, or Hadoop for large-scale data transformation
3 years of experience in the past 4 years integrating structured and semi-structured data (CSV, XML, JSON, Parquet) and consuming APIs using Python/PySpark
3 years of experience in the past 4 years developing analytics-ready datasets and supporting business intelligence platforms such as Power BI or Cognos, including writing optimized SQL for reporting
3 years of experience in the past 4 years performing data cleansing, validation, profiling, and data quality assurance for regulated or audit-sensitive environments
3 years of experience supporting production ETL operations, troubleshooting pipeline failures, conducting root cause analysis, and ensuring SLAs for daily, monthly, or regulatory reporting workloads
This classification requires the possession of a bachelor's degree in an IT-related or Engineering field. Additional qualifying experience may be substituted for the required education on a year-for-year basis
Company
Scalence L.L.C.
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience.
501-1000 employees
Funding
Current Stage
Late StageCompany data provided by crunchbase