Data Integration Engineer

What's in this for you? If you’re in the data center industry, involved in data center real estate, are looking to grow personally and professionally, are looking to stop living deal-to-deal, or are looking to reclaim some balance in your life by coming in, working hard, and going home – then you will want to consider working with datacenterHawk. Find out exactly what skills, experience, and qualifications you will need to succeed in this role before applying below. We are a humble, hard-working, fun team charging after excellence and a vision to support our clients across the globe – all while investing in our culture and making datacenterHawk a great place to work for us all. Job summary The Data Analyst is responsible for procuring, integrating, and maintaining external data sources that enhance our platform capabilities. This role focuses on researching and evaluating new data acquisition opportunities, building sustainable data pipelines, and ensuring data quality and accessibility. The Data Analyst will work independently to identify data gaps, research potential solutions including third-party datasets and AI-powered tools, and present recommendations to leadership for strategic decision-making. Primary duties and responsibilities Research and identify external data sources that align with business needs and platform enhancement goals. Evaluate third-party data providers, subscription services, and alternative data procurement methods including AI tools and web scraping technologies. Conduct comprehensive cost-benefit analyses of data acquisition options, documenting benefits, limitations, and integration requirements. Design and implement automated processes to maintain data currency and quality for newly acquired datasets. Build and maintain data pipelines to integrate data from multiple external sources into company databases. Develop and document data procurement workflows, integration processes, and maintenance schedules. Present findings and recommendations to leadership with clear analysis of costs, benefits, and implementation timelines. Collaborate with product and engineering teams to ensure seamless integration of new data sources into existing systems. Monitor data quality, identify anomalies, and implement validation checks to ensure accuracy and reliability. Additional responsibilities Additional duties as assigned Critical competencies Ownership & Execution - Demonstrates a sense of ownership to drive issues to closure, maximizes the use of existing processes while continuously pursuing ways to improve efficiencies, sets aggressive goals, monitors progress, and delivers results, seizes more opportunities than others Customer-Centric – Works to understand customer pain points to effectively align technical solutions with customer’s business, anticipate customer needs, and sets high standards for customer service Manages Ambiguity & Change - Makes decisions with available information that align with strategy, embraces and manages change, challenges the status quo and champions new initiatives, comfortably handles risk and uncertainty The individual Demonstrated expertise in data procurement, acquisition, and integration methodologies. Strong research skills with ability to independently evaluate and compare data providers and technologies. Proven ability to work independently and drive multiple data initiatives simultaneously. Excellent analytical and problem-solving skills with keen attention to detail. Strong communication skills to effectively present technical findings and recommendations to both technical and non-technical stakeholders. Ability to translate business requirements into data acquisition strategies. Self-motivated with strong organizational skills and ability to manage competing priorities. Experience documenting technical processes and creating clear, maintainable data workflows. Comfortable evaluating emerging technologies including AI-powered data tools. Qualifications At least 3-5 years of hands-on experience with a combination of the following technologies: Programming languages : SQL, Python (required) Data technologies : ETL processes, data pipeline development, REST APIs, web scraping, MySQL/PostgreSQL Data tools : Excel, data visualization tools (Tableau, Power BI - preferred), data integration platforms (Talend, Apache Airflow - preferred) Additional skills : Data quality and governance principles, AI-powered data tools, cloud platforms (AWS, Azure, Google Cloud - preferred) Preferred qualifications: Bachelor's degree in Computer Science, Data Science, Information Systems, or related quantitative field Experience with data procurement or vendor evaluation processes Knowledge of data center industry and related data sources Agile/Scrum methodology experience Understanding of data privacy regulations (GDPR, CCPA) Available to work in the Dallas, TX office full-time. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. All external applicants must be legally eligible to immediately work in the country of hire without current or future sponsorship. xrczosw If you require an accommodation under the Americans with Disabilities Act, Section 503 of the Rehabilitation Act or similar law in order to apply for employment at Simplify Compliance, please contact our Talent Acquisition Team 1.8 , ext. 8101. Job applicants may request to review the company's Affirmative Action plans by contacting the talent acquisition team/recruiter, Human Resources department or Chief People Officer.