IT Manager - Data Engineering | Salt Lake, UT

Vision) Tele Doc HSA company match 3 Medical plan options including a Low Deductible PPO Medical Plan Offering Employee Assistance Program Engaged Employee Resource Groups Outstanding Learning and Career Development Opportunities Pay Range: Actual pay may vary up or down depending on job-related factors which may include knowledge, skills, experience, and location.

In addition, this position may be eligible for incentive compensation. Essential Duties and Responsibilities Develop and implement a highly technical programmatic approach to data engineering that is focused on solid coding practices in (Python, SQL, and Scala) that align with the organization's goals and objectives. Establish

processes and procedures for the data engineering function, including task management, sensible data security focusing on enabling users access to data, quality control focusing on data accuracy and availability, and implementing redundant systems that support near-real-time site failover.

Oversee the data engineering teams design and execution of projects, ensuring they are delivered on time and within budget. Collaborate with other data services teams and key company stakeholders to identify business needs and opportunities for data engineering to provide value. Understand critical company processes, drivers, complexities, and operational requirements as they relate to the Data Engineering

functions at Sorenson. Possess excellent verbal and written communication skills and the ability to interact professionally with a diverse group of executives, managers, and subject matter experts.

Participate in compassionate & subservient team leadership by mentoring team members and taking an active role in building an environment in which team members and peers feel safe (emotionally, spiritually, and intellectually). As an individual contributor and leader be quick to listen, thrive in active collaboration, and quick to question if your desired solutions and outcomes are the only or best way. Function as an escalation point for your teams technical and HRrelated issues.

Own the team's deliverables, timelines, problems, and resolutions, without playing the blame game and while building up others. Ensure all products and artifacts produced by yourself and the data engineering team meet quality standards set by the Data Services Director and Company. Other duties as assigned. Supervisory Responsibility This position manages employees and is responsible for the performance management and hiring of the employees on this team. Education Minimum of a 4 Year / Bachelors Degree In a relevant field. Bachelor of Engineering (BS, B. Tech, etc. ) in a mathematically intensive field like Computer Engineering, Computer Science, Statistics, Data Analytics, Software Development, Engineering, IT (if technical), Mathematics, etc.

Preferred: Graduate Degree MBA or MS in a technical field like computer engineering, math, physics, IT, or engineering. Travel Requirements Travel Requirements: Less than 25% Experience Minimum Years of Experience6 Active near daily use of python and ANSI SQL. Experience in data engineering, with a proven track record of building and managing successful data engineering teams. Experience using and implementing modern cloud-based data architectures such as AWS Lambda, Streaming, No SQL, Databricks Delta Lake / Lakehouse and API driven data solutions.

Strong experience building code-based solutions fully integrated into code repositories (ex: Git Hub) that include continuous data and solution testing (ex: at a minimum - unit, regression, and load) Experience solving complex business needs as a technical expert. Mature understanding of implementing and maintaining data engineering solutions at scale for a global company with high-speed transactional data. 4 Strong understanding of the electronic loading of data (EL) including the use of RESTful interfaces, SOAP (Simple Object Access Protocol), screen scraping (ex: Beautiful Soup), reading from streaming APIs (ex: AWS Kinesis / Kafka), and use of purchased ETL software (ex: Five Tran) Experience building data pipelines using technologies such Spark or Delta Live Tables (DLT) while integrating continuous data quality using tools like Databricks Expectations or Great Expectations Experience using Databricks for Data Engineering, Orchestration, and Data API serving.

Demonstrated experience mentoring others, leading projects, and taking ownership of solutions.

Demonstrated skills at generating and mentoring others in building system and solution documentation to support data engineering operations. 2 Experience using and extracting information from multiple ERP and CRM systems (ex: SAP, Dynamics, Salesforce). Preferably, experience with Microsoft Dynamics 365 Finance & Operations, Customer Service, Marketing, and Field Service Modules Demonstrated experience in communication, motivation, organization, and delegation. Knowledge, Skills, and Abilities Active near daily use of Python and ANSI SQL in a notebook-based environment. Strong experience using Databricks for Data Engineering, Orchestration, and Data API serving Experience writing data engineering software using general python, pyspark and pyspark.

sql Experience using and extracting information from multiple ERP and CRM systems (ex, SAP, Dynamics, Salesforce). Preferably, experience with Microsoft Dynamics 365 Finance & Operations, Customer Service, Marketing, and Field Service Modules. Knowledge of government regulations such as FCC CPNI and GDPR is a plus. Strong experience building code-based solutions fully integrated into code repositories (ex: Git Hub) that include continuous data and solution testing (ex: unit, regression, and load) Experience using and implementing modern cloud-based data architectures such as AWS Lambda, Streaming, No SQL, Databricks Delta Lake / Lakehouse and API driven data solutions.

Mature understanding of implementing and maintaining data engineering solutions at scale for a global company with high-speed transactional data. Experience in data engineering, with a proven track record of building and managing successful data engineering teams. Strong understanding of the electronic loading of data (EL) including the use of Rest Ful interfaces, SOAP (Simple Object Access Protocol), screen scraping (ex: Beautiful Soup), reading from streaming APIs (ex: AWS Kinesis / Kafka), and use of purchased ETL software (ex: Five Tran) Experience building data pipelines using technologies such Spark or Delta Live Tables (DLT) while integrating continuous data quality using tools like Databricks Expectations or Great Expectations Demonstrated experience mentoring others, leading projects, and taking ownership of solutions.

Demonstrated skills at generating and mentoring others in building system and solution documentation to support data engineering operations.

Demonstrated experience in communication, motivation, organization, and delegation. Working Conditions and Physical Requirements Able to sit/ stand for a long period of time in an office environment. Dexterity of hands and fingers to operate a computer keyboard, mouse, tools, and to handle other computer components. Regular and predictable attendance required. Positive attitude, team player, good interpersonal communication skills and able to work across company departments. Company Summary Our Mission.Harnessing the power of language, we connect diverse people and enrich the human experience.

Our Vision.To provide global language services that expand opportunities, nurture belonging, and empower the world to connect beyond words. As one of the world's leading language services providers, Sorenson combines patented technology with human-centric solutions. We strive to increase diversity, equity, inclusion, and accessibility for underrepresented people through communication solutions for all: call captioning and video relay services, over-video and in-person sign language and spoken language interpreting, translation, real-time captioning, and post-production language services.

Sorenson's impact vision and plan extends to supporting employment opportunities for diverse employees, customers, and communities. As a minority-owned company, we are committed to expanding opportunities for underserved communities while promoting an inclusive workplace for our own employees. Equal Employment Opportunity: Sorenson Communications is an Equal Opportunity, Affirmative Action Employer. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.

However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

41 CFR 60-1.35(c) Behavior Leader: Inspires teammates to follow them Education Preferred: Bachelor of Science PDN-9acbaf97-11bc-41ef-ad1d-6c7cf756f0a9