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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. “Beware of scams. S3 never asks for money during its onboarding process.”
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.