Data Engineer

Strategic Staffing Solutions; Missouri; On-site; USD 90,000 - 135,000; Full time

Job summary

Strategic Staffing Solutions seeks a Data Engineer for a 12-month W2 contract in St. Louis, Missouri. This on-site role focuses on building data pipelines, reports, and dashboards to support client services and product improvements.

You will design databases for unstructured data, integrate data from multiple sources, and translate business requirements into data-driven solutions. This is a contract position with no C2C, requiring on-site work three days per week.

Responsibilities

• Generates reports and datasets for end-users using system tools and database or data warehouse queries. May create specifications for reports based on business requests.
• Designs, develops, and programs methods, processes, and systems to consolidate and analyze structured and unstructured data from diverse sources to generate insights for client services and product enhancement.
• Uses advanced mathematical and statistical concepts to analyze data and identify trends and patterns for decision makers.
• Supports complex business problems using unstructured data from internal and external sources to provide insights to leadership.
• Builds machine learning or AI solutions that create value for the business.

Job description

Job Description

Strategic Staffing Solutions is currently looking for a Data Engineer , a W2 contract opportunity.

This is a W-2 contract opportunity, and candidates must be able to work on our W-2 only. NO C2C or 1099.

Data Engineer

Employment Type: W2 Only (No C2C or 1099)
Duration: 12-month contract with a possibility to extend
Location: St. Louis, Missouri
Schedule: On-site-3 days

Position Summary

• Generates reports and regular datasets or report information for end-users, using system tools and database or data warehouse queries and scripts. May create specifications for reports based on business requests.


• Designs, develops, and programs methods, processes, and systems to consolidate and analyze structured and unstructured, diverse sources to generate actionable insights and solutions for client services and product enhancement. Analyzes and models data to understand complex business issues and provide insight to decision makers. Integrates data from multiple sources to produce requested or required data elements. Programs and maintains reports, information dashboards, data generators, canned reports, and other end-user information portals or resources.


• Uses advanced mathematical and statistical concepts and theories to analyze and collect data; identifies and interprets trends and patterns in datasets.


• Supports complex business problems and issues using unstructured data from internal and external sources to provide insight to decision-makers.


• Builds or defines machine learning/artificial intelligence (AI) solutions that create value for the business.

Key responsibilities include:

• Addresses business problems by applying advanced analytics techniques through broad parameters on big, unstructured data sets.


• Designs databases for unstructured data sets, defining how the data will be stored, consumed, integrated, and managed.


• Develops optimal techniques and problem-solves to understand and explore multiple reasons for correlations between disparate data sets; provides coaching on how to transform and clean data into an appropriate form for statistical analysis.


• Conducts exploratory data analysis from complex data sources and builds key data sets.


• Works closely with data analysts and data engineers to review and provide feedback on data pipelines and optimization opportunities.


• Translates complex business requirements and technical designs into data science / artificial intelligence solutions aligned to business goals that deliver measurable value to the organization.

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