San Jose Firm Seeks Data Engineer for SaaS Contract Role
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Software guidance & Assistance, Inc. (SGA) is actively recruiting a Data engineer for a contract position with a leading SaaS client located in San Jose,CA.This hybrid role requires on-site presence three days per week.
Data Engineer Role Overview
The ideal candidate will blend analytical skills, advancement expertise, and leadership qualities. This role involves advising business leaders by providing data-driven strategic direction to address business challenges and opportunities. A key obligation is contributing to the development and execution of strategic goals within the Pricing & Revenue Operations organization. Collaboration with experts across finance, engineering, data science, programming, and UI/UX is crucial for conducting analyses, developing insights, and delivering actionable recommendations.
Did You Know? The global SaaS market is projected to reach $307.3 billion by 2026, growing at a CAGR of 11.7% [[1]].
Responsibilities of the Data Engineer
- Creating complex and intuitive business intelligence tools to automate and enhance programs for analysts, management, and executives.
- Designing, developing, and maintaining data integration pipelines using APIs to extract, transform, and load data from diverse sources into target systems.
- Using Power BI navigation features (e.g., bookmarks, drill-through) to guide users through compelling data-driven stories.
- Synthesizing complex data sets into insights and building analytics stories that drive strategic business decisions.
- Using SQL, Python, Databricks, Snowflake, and SAP HANA to curate and query large data sets, perform analyses, and create custom views.
- Defining acceptance criteria for testing and collaborating with engineering, QE, developers, and users to create and implement test plans.
Required Skills for the Data Engineer
- Minimum of 5 years of experience in Business Intelligence and Analytics.
- A degree in Computer Science, IT, Statistics, or a related field, with coursework or job experience in advanced data and analytics.
- Extensive hands-on experience with enterprise business intelligence software applications, including Microsoft Power BI, Microsoft Power Apps, and microsoft Excel; SnapLogic is a plus.
- Extraordinary ability to design and create data visualizations that are intuitive, informative, and impactful.
- Advanced experience using SQL to extract data, understand data structures, and run queries.
- Outstanding problem-solving and analytical skills, including talent for conducting research, analyzing data, developing hypotheses, and synthesizing recommendations.
- Ability to coordinate with colleagues and stakeholders across the globe.
- Proven record of consistently meeting deadlines while working in a fast-paced environment.
- High degree of intellectual curiosity and ability to quickly absorb new concepts.
- Self-starter with the ability to successfully lead through ambiguity and prioritize multiple projects and partners.
- strong alignment with core values such as innovation, ownership, and integrity.
Pro Tip: Familiarize yourself with the latest updates and features in Power BI to showcase your expertise during the interview process.
Data Engineer Skills Comparison
| Skill | Importance | Description |
|---|---|---|
| SQL | High | Essential for data extraction and manipulation. |
| Python | High | Used for data analysis, automation, and scripting. |
| Power BI | High | Critical for data visualization and reporting. |
| Databricks/Snowflake | Medium | Experience with cloud-based data warehousing solutions. |
| Data Integration | high | Ability to design and maintain data pipelines. |
SGA prides itself on being a technology and resource solutions provider committed to excellence. As a women-owned business, SGA focuses on solving complex IT challenges with a personalized approach. They connect consultants with numerous engagements annually, fostering a diverse team built on customer service, employee development, and integrity.
SGA is an Equal Prospect Employer, committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities.
What are the biggest challenges facing data engineers today? How can companies better support their data engineering teams?
Evergreen Insights on Data Engineering
Data engineering is a rapidly evolving field, driven by the increasing volume and complexity of data. Data engineers are responsible for building and maintaining the infrastructure that allows organizations to collect,store,process,and analyze data effectively. This includes designing data warehouses, building data pipelines, and ensuring data quality.
The demand for data engineers is high, reflecting the growing importance of data-driven decision-making in businesses across various industries. According to Arbeitnow, there are numerous Data Engineer jobs available in Germany as of June 2025 [[2]]. Platforms like DataCareer specialize in connecting data professionals with opportunities in Data Science, AI, Data Analytics, and Data Engineering [[3]].
Frequently Asked Questions About Data Engineering
What is the role of a Data Engineer?
Data Engineers build and maintain the infrastructure for data collection, storage, and analysis.
What skills are needed to become a Data Engineer?
Key skills include SQL, Python, data warehousing, and data visualization.
What is the job outlook for Data Engineers?
The job outlook for Data Engineers is excellent, with high demand across various industries.
What is the difference between a Data Engineer and a Data Scientist?
Data Engineers focus on building and maintaining data infrastructure, while Data Scientists focus on analyzing data and building models.
What is the salary range for Data Engineers?
Salaries for Data Engineers vary based on experience, location, and company size.
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