Associate Data Engineer

Onbe, a fast-growing FinTech, bringing innovation to a rapidly growing global marketplace, stands for “on behalf.” Because that’s exactly how we work: on behalf of our clients, as their comprehensive payments partner. We transform the way payments are imagined — as an opportunity for innovation, a source of insight to customers, and a way to connect with partners around the globe!

Summary: Associate Data Engineer will be part of the Data Engineering/Technology organization building ETL pipelines for reporting and other analytics needs. The position requires strong SQL skills, knowledge of data warehouse concepts, exposure to data engineering tools and technologies, willingness to learn and burning desire to grow.

This role is a hybrid role that will work onsite 1-2 days per week at our Dallas, TX location. Occasional travel may be required as part of this position.  #LI-Hybrid

Responsibilities:

• Collaborate with business stakeholders and Senior Data Engineers to understand data requirements and translate into technical solutions.
• Perform data studies and data discovery around new or existing data sources.
• Review existing stored procedures for troubleshooting or optimization.
• Develop and maintain data pipelines from SQL Server and other data sources, Transform and load to Snowflake DB.
• Implement ETL process using Prophecy DBT tool to create facts and dimension tables.
• Collaborate with cross functional teams including reporting for scalable and reliable solutions.
• Document source to target mappings, data pipelines, transformations as part of knowledge sharing.
• Participate in daily status calls, design sessions and code reviews.

Qualifications:

• Bachelor’s degree in computer science, Information Systems, or a related field.
• 1-3 years of experience building data transformation and processing solutions using SQL, Python or similar programming languages.
• 1-3 years of experience with ETL tools such as Azure Data Factory, Notebook, SQL, Python, SSIS.
• Ability to troubleshoot and resolve complex data related issues.
• Excellent communication and interpersonal skills, with willingness to collaborate and the desire to learn.
• Knowledge of Snowflake, SQL, SSRS, SSIS
• Knowledge of Azure data platforms and related services

The base salary range for this position is between $74,880.00 to $85,000.00, with eligibility for an annual bonus. The actual base salary offered depends on a variety of factors, including but not limited to the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, business needs, and market demand. Our competitive benefits includes medical, dental, vision, wellness, 401(k) matching, open time off, generous parental leave, and more! Our job titles may span more than one career level. All candidates are encouraged to apply.

At Onbe, a diverse group of people, ideas, and perspectives are key to achieving phenomenal things. For over 25 years, our focus has remained on building a culture of openness and ingenuity, where employees come together to innovate and build disbursement solutions that make the lives of our clients and their consumers and workforces easier and better. Our definition of success includes celebrating differences and affirming belonging. To that end, we ask employees to come to Onbe as they are and contribute their diverse perspectives, identities, and experiences.

We believe that the recruiting phase is only the very beginning of diversity and inclusion. At Onbe, we’re constantly evolving the way we celebrate diversity every day and in everything we do. With several internal committees that are dedicated to mental and physical wellness, diversity, inclusion, and community outreach, we are committed to making a culture that is inclusive to all.

Onbe is proud to be an equal opportunity employer. We seek out ways to create a mindful workforce that embraces diversity and celebrates a culture of inclusion. We do not discriminate against employees or job applicants on the basis of race, color, ancestry, national origin, sex (including pregnancy), gender identity, sexual orientation, marital or family status, religion, age, disability, genetic information or military service. Our equal opportunity policy applies to all decisions of employment including hiring, placement, promotion or advancement, termination, layoff, recall, transfer, compensation, training and leaves of absence