Senior Data Engineer

• Design, develop, and maintain scalable and reliable data pipelines using tools such as Airflow, Python, SQL, and Databricks DLT.
• Collaborate closely with data scientists, analysts, and other stakeholders to ensure that data is accessible, consistent, and reliable.
• Work with both structured and unstructured data sources to ingest, transform, and store data in a manner that meets business requirements.
• Implement effective data modeling and database design to support analytic and operational use cases.
• Ensure best practices in data security, data quality, and data governance.
• Optimize and tune SQL queries and database performance for high-concurrency environments.
• Collaborate with software engineering and analytics engineering teams to integrate data pipelines with application systems.
• Leverage cloud platforms (AWS & Azure) to design and deploy data solutions that are scalable, cost-effective, and meet the organization’s needs.
• Act as a mentor and provide guidance to junior data engineers, promoting skill growth within the team.

• A strong desire to be a Team player and build a happy collaborative environment.
• Mentoring and support for Junior engineers and data scientists
• Strong communication skills, both written and verbal.
• Solid software engineering skills, including version control (e.g., Git), continuous integration, and automated testing.
• Possess a very strong understanding of python and SQL for data ingestion, transformation, and pipelining.
• Hands on knowledge of batch and stream processing (Kinesis & Kafka) for large scale data pipelines.
• knowledge of architecture and cloud platforms, preferably AWS and Azure
• Proactive mindset with a passion for continuous learning and improvement.

Nice To Have

• Experience with building configurations in YAML
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Experience with Apache Airflow (MWAA), AWS EKS, AWS RDS Aurora (MySQL),
• Data observability tools such as Datahub Mote Carlo, Dynatrace, or Great Expectations
• Experience building AWS and Azure infrastructure.
• Certifications in AWS, Azure, or other relevant platforms., Minimum Bachelor’s degree in computer science, information technology, Engineering, or technology related field.

Desired 2 Year master’s degree (MS) in computer science or technology related field.

Experience

3-5 years:

• Strong proficiency in data engineering languages such as Python, SQL, Java, or Scala
• Proficiency in large scale data processing engines including but not limited to Spark, Flink, and Snowflake
• Prior experience as a data Engineer, software engineer, or similar technical data professional
• Hands-on experience with orchestration and pipeline tools like Apache Airflow, Azure Data Factory, Prefect, FiveTran, or Mage

• Paid Vacation Time and Paid Sick Time and Paid Holidays
• 401k 6% match with immediate vesting
• Nationwide Medical Insurance plans and coverage (Medical, Dental/Orthodontia, Vision)
• TeleDoc
• 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: The estimated salary range for this position is $115,940.00 to $174,020.00 annually. 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.

Come be a part of our mission and make a meaningful and positive impact with the industry leading provider of language services for the Deaf and heard-of-hearing!, 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.