Data Engineering Analyst
📋 Role Overview & Responsibilities
Data Engineering Analyst job in Denver, ColoradoHybrid6 months contractPay/Salary Range:$38.00/hr - $41.00/hr
Overview: We are seeking a highly skilled and motivated Data Engineering Analyst to join our dynamic team. As a Data Engineering Analyst, you will play a critical role in managing and analyzing our organization's data infrastructure. You will collaborate with cross-functional teams to design, implement, and optimize data pipelines, ensuring the availability, reliability, and efficiency of our data systems and deliver a dashboard capturing KPI’s for stakeholders.
The ideal candidate will possess a strong background in data engineering, analytics, and programming, along with excellent problem-solving abilities and a passion for leveraging data to drive business insights.
Key Responsibilities:Proven experience in data engineering, data analysis, or a related role, preferably in a fast-paced, technology driven environment.Proficiency in programming languages such as Python, SQL, or Java, and experience with data manipulation and transformation frameworks (e.g., Pandas, Spark).Strong understanding of database technologies (e.g., SQL, NoSQL, BigQuery), data warehousing concepts, and cloud platforms (e.g., AWS, Azure, GCP). Experience with data integration tools (e.g., Apache NiFi, Talend, Informatica) and workflow management systems (e.g., Apache Airflow, Luigi).Familiarity with data visualization and BI tools (e.g., Tableau, Power BI) is a plus. Prior experience with Smartsheet, Air Table, Power Query, and SharePoint for data organization, tracking, and collaboration is highly desirable.Collaborate and communicate with data and scorecard stakeholders and other non-technical teammates to work through technical requirements.Detail-oriented mindset with a focus on data quality, accuracy, and consistency.Manage competing priorities aligned to desired outcomes in a dynamic environment.Respond to ad hoc requests.
Qualifications:Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or related field.Proven experience in data engineering, data analysis, or a related role, preferably in a fast-paced, technology driven environment.Proficiency in programming languages such as Python, SQL, or Java, and experience with data manipulation and transformation frameworks (e.g., Pandas, Spark).Strong understanding of database technologies (e.g., SQL, NoSQL, BigQuery), data warehousing concepts, and cloud platforms (e.g., AWS, Azure, GCP).Experience with data integration tools (e.g., Apache NiFi, Talend, Informatica) and workflow management systems (e.g., Apache Airflow, Luigi).Familiarity with data visualization and BI tools (e.g., Tableau, Power BI) is a plus.Excellent analytical, problem-solving, and communication skills, with the ability to collaborate effectively across teams and communicate technical concepts to non-technical stakeholders.Detail-oriented mindset with a focus on data quality, accuracy, and consistency.Strong organizational skills and the ability to manage multiple tasks and priorities in a dynamic environment.Prior experience with Smartsheet, Air Table, Power Query, and SharePoint is highly desirable due to the specific data organization, tracking and collaboration requirements of the role.
If you are interested in this job or other job opportunities available through Modis, please apply online with professional references at www.akkodisgroup.com or e-mail marie.badger@akkodisgroup.com. Referrals are greatly appreciated.
Equal Opportunity Employer/Veterans/DisabledBenefit offerings could include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs which are direct hire to a clientTo read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.modis.com/en-us/candidate-privacy/The Company will consider qualified applicants with arrest and conviction records.
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