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Norfolk Southern offers a unique opportunity to be part of our proud legacy that spans nearly 200 years. We are a customer-centric, operations-driven team dedicated to advancing safety, serving communities, and driving innovation for tomorrow's rail. As part of Norfolk Southern, you’ll join a collaborative team where there are opportunities for growth across the organization. We are building a culture where everyone can thrive by owning and driving exceptional results, being humble and leading with trust, serving our customers with excellence, and collaborating and coaching to win.
Job Description
Norfolk Southern Corporation is currently seeking a Senior Big Data Engineer with an affinity for working with others to create successful solutions. Join a smart, highly skilled team with a passion for technology, where you will work on our state-of-the-art Big Data Platforms. This Senior Data Engineer will participate in all phases of the Data Engineering life cycle and will independently and collaboratively write project requirements, architect solutions, and perform data ingestion development and support duties.
In this role, you will work with people from many areas of the company to understand their data and BI needs and perform detailed requirements gathering along with analysis in partnership with our team of Data Modelers. Engage our BI development team to agree on effort estimates and then oversee the progress of the project through its completion.
Responsibilities
- Defines data requirements, gathers, and wrangles large scale of structured and unstructured data, and validates data by running various data tools in the Data Environment.
- Supports the standardization, customization and ad-hoc data analysis, and develops the mechanisms to ingest, analyze, validate, normalize and clean data.
- Creates data policy and develops interfaces and retention models which requires synthesizing or anonymizing data.
- Implements statistical data quality procedures on new data sources, and by applying rigorous iterative data analytics, supports Data Scientists and analytics and insights creation in data sourcing and preparation to visualize data and synthesize insights of commercial value.
- Develops and maintains data engineering best practices and contributes to Insights on data analytics and visualization concepts, methods and techniques.
- Works closely with the data science and business intelligence teams to develop data models and pipelines for research, reporting, and machine learning.
- Builds data pipelines that clean, transform, and aggregate data from disparate sources.
- Employs a variety of languages and tools (e.g. scripting languages) to marry systems together.
- Engages with business teams to gather requirements and design data solutions.
- Understands overall architecture and industry data technology.
- Mentors a team of Junior Data Engineers.
- Refines and prioritizes team backlog.
- Collaborates across multiple projects to provide data engineering expertise across teams.
- Presents to leadership around solutions that are in-progress or being maintained.
- Analyzes most relevant insights and shares with leadership to provide strategic recommendations for the business.
- Leads a team of data engineers and acts as a key senior contributor to a data engineering project.
- Drives innovative technology solutions through thought leadership on emerging trends.
- Applies knowledge of Data Architecture components, leads project teams from requirements to implementation.
Education Required
Bachelor’s Degree in Information Systems, Computer Science, Computer Information Systems or related technology field required.
Skills Required
- 5 years of Databricks UI, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake with Spark SQL, Delta Live Tables, Unity Catalog.
- 7+ years of experience in a data engineering role with a track record of manipulating, processing, and extracting value from large datasets.
- 7+ years of Big Data tools like Hadoop, Spark, Spark SQL, Kafka, Sqoop, Hive, S3, HDFS.
- 5+ years building, testing, and optimizing ‘Big Data’ data ingestion pipelines, architectures, and data sets with Tibco, IBM or others.
- Advanced SQL, data ingestion frameworks, data modeling, and working with big data.
- High-velocity high-volume stream processing with Apache Kafka and Spark Streaming.
- ETL experience with Scala (and/or Python) and PySpark/Scala-Spark.
- Agile Scrum, Kanban or SAFe experience.
- Python (and/or Scala) and PySpark/Scala-Spark.
- Database solutions like Snowflake, Kudu/Impala, Delta Lake or BigQuery.
- Azure, AWS Serverless technologies, like, S3, Kinesis/MSK, lambda, and Glue.
- Messaging Platforms like Kafka, Amazon MSK & TIBCO EMS or IBM MQ Series.
- Strong understanding of Relational & Dimensional modeling.
- Experience with GIT code versioning software.
- Experience with REST API and Web Services.
Work Conditions
Location: Atlanta, GA
Environment: Hybrid (two days in office; three days remote)
Shift Work: No
On-Call: Yes
Weekend Work: No
Company Overview
Since 1827, Norfolk Southern Corporation (NYSE: NSC) and its predecessor companies have safely moved the goods and materials that drive the U.S. economy. Today, it operates a customer-centric and operations-driven freight transportation network. Committed to furthering sustainability, Norfolk Southern helps its customers avoid 15 million tons of yearly carbon emissions by shipping via rail. Its dedicated team members deliver more than 7 million carloads annually, from agriculture to consumer goods, and is the largest rail shipper of auto products and metals in North America. Norfolk Southern also has the most extensive intermodal network in the eastern U.S., serving a majority of the country’s population and manufacturing base, with connections to every major container port on the Atlantic coast as well as the Gulf of Mexico and Great Lakes. Learn more by visiting
At Norfolk Southern, we believe in celebrating our individuality. By leveraging the unique backgrounds and viewpoints of our employees, we can create a culture of innovation, respect, and inclusion. We know that employees thrive in a workplace where differing viewpoints, ideas, and experiences are freely shared and valued. As such, we encourage all employees to contribute their distinctive skills and capabilities to our organization.
Equal employment opportunities are available to all applicants regardless of race, color, religion, age, sex, national origin, disability status, genetic information, veteran status, sexual orientation, and gender identity. Together, we power progress.
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