Data Engineering Specialist

WHO WE ARE: 

 
Mariner innovates always and everywhere, turning novel ideas into practical solutions. From products and services to venture creation, we build better futures powered by people. Our purpose has always been to be a great, everlasting technology company for those who make an impact - elevating people, data, and technology in the best way to solve hard problems. We partner with people embracing change, leveraging data, cybersecurity, cloud, and change management to drive successful business outcomes that matter to our customers. 

Mariners build for change. Like SHIFT Energy, our energy management and decarbonization company. Or East Valley created to scale social economic impact in our communities through investment and mentorship of emerging change-makers and their companies. 

Mariner’s purpose has always been to be a great, everlasting technology company and the core values that guide us every day are: 
 

OUR VALUES 

• We care for our team. 

• We care about the impact we have on our community. 

• We serve by solving complex problems. 

• We grow because growth fuels opportunities. 

• We innovate always and everywhere. 

• We build a business that lasts. 

OVERVIEW OF THE ROLE

As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure. You will collaborate closely with cross-functional teams to ensure efficient data processing, storage, and accessibility for analytical and operational purposes.

WHAT YOU’LL BE DOING IN THE ROLE: 

• Programming Languages: Proficiency in languages such as Python, Java, or Scala is crucial for data engineering tasks. Python is widely used for its versatility and extensive libraries in the data ecosystem.
• SQL and Database Management: Strong knowledge of SQL is essential for working with relational databases. Data engineers should be proficient in designing, optimizing, and managing databases.
• Big Data Technologies: Familiarity with big data technologies like Databricks, Apache Hadoop, Apache Spark (PySpark), and Apache Kafka is crucial. These tools are commonly used for processing and managing large volumes of data.
• ETL (Extract, Transform, Load) Processes: Expertise in designing and implementing ETL processes is a core skill for data engineers. This involves extracting data from various sources, transforming it, and loading it into a target database.
• Data Modeling: Understanding how to design effective scalable data models is essential. This includes knowledge of concepts like normalization, denormalization, and familiarity with tools like ERD (Entity-Relationship Diagrams). Additionally understanding and implementation of Delta Lake for managing reliable data lakes is key.
• Cloud Platforms: Proficiency with cloud platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) is important as many organizations are adopting cloud-based solutions for data storage and processing.
• Data Orchestration: Knowledge of orchestration tools like Azure Data Factory or Apache Airflow for managing data workflows.
• Data Warehousing: Knowledge of data warehousing concepts and tools such as Amazon Redshift, Google BigQuery, Azure Synapse, or Snowflake is valuable for building and managing large-scale data warehouses.
• Version Control Systems: Experience with version control systems like Git is important for collaboration and code management in a team environment.
• Data Quality and Validation: Ensuring data quality and implementing validation processes is crucial. Data engineers should be skilled in identifying and handling anomalies, errors, and missing data.
• Monitoring and Logging: These are crucial skills for a data engineer, enabling proactive issue detection, troubleshooting, resource optimization, and documentation, ensuring the reliability, performance, and transparency of data pipelines.
• Communication and Collaboration: Effective communication skills are essential for collaborating with other team members, data scientists, and stakeholders. Data engineers often need to explain their work, document processes, and work closely with cross-functional teams.

WHAT SKILLS / QUALIFICATIONS YOU’LL NEED TO DO THE JOB:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data engineering or a similar role.
• Proficiency in Python, Java, or Scala and strong SQL skills.
• Experience with big data technologies, ETL processes, cloud platforms, and data warehousing tools.
• Familiarity with data modeling, version control systems, data quality/validation, monitoring, and logging.
• Excellent communication, problem-solving, and collaboration skills.

   …AND YOU ARE...

• Always improving your skills and knowledge: you want to be the best at what you do  
• Curious and creative; comfortable taking on new problems and challenges
• A self-starter with the ability to recommend priorities to the project leader 
• Comfortable working through problems and figuring things out with minimal supervision
• Great problem-solving skills: thorough and reliable
• Able to work in a team: share knowledge and assist other team members
• A good communicator: able to explain your ideas and recommendations
• Well organized and dependable under pressure: you manage your time effectively
• Energized by our company values! 

MARINER OFFERS YOU:

• A values-driven workplace where people really matter 
• Flexible work location 
• Support for remote work/work from home
• Competitive salary, retirement savings program, and rewards program
• Comprehensive health, dental, vision, life and disability insurance plans and access to e-health care
• Paid vacation, maternity/parental leave, paid sick leave and paid Mariner MyLife days.
• Unlimited training

WHY MARINER?