Data Operations Engineer II – Weather Technology
State College, PA, or Remote
Applications have closed
AccuWeather
COMPANY
AccuWeather, recognized and documented as the most accurate source of weather forecasts and warnings in the world, has saved tens of thousands of lives, prevented hundreds of thousands of injuries and tens of billions of dollars in property damage. With global headquarters in State College, Pennsylvania; a severe weather center in Wichita, Kansas; and offices in New York City and elsewhere around the world, AccuWeather serves more than 1.5 billion people daily to help them plan their activities and get more out of their day through innovative digital media properties, such as AccuWeather.com and mobile, as well as AccuWeather For Business (AFB), radio, television, newspapers, digital out of home, the 24/7 AccuWeather Network channel and AccuWeather NOW streaming service. Additionally, AccuWeather produces and distributes news, weather content, and video for more than 180,000 third-party websites.
AccuWeather's innovation-first promise has led to the development of many award-winning and propriety features that are available free to the public, including AccuWeather MinuteCast® Minute by Minute™ forecasts with Superior Accuracy ™, the exclusive AccuWeather RealFeel® Temperature, and AccuWeather RealImpact™ Scale for Hurricanes, among many other revolutionary products for the greater safety, convenience and comfort of our users. Further, AccuWeather serves more than half of the Fortune 500 and thousands of other businesses in the U.S. and globally.
Dr. Joel N. Myers, Founder and Chief Executive Officer, established AccuWeather in 1962 and is considered the “father of modern commercial meteorology.” Dr. Myers, a leading creative thinker and visionary, has been named “the most accurate man in weather” by The New York Times and one of the top entrepreneurs in American history by Entrepreneur’s Encyclopedia of Entrepreneurs.
SUMMARY
AccuWeather is looking for an experienced Data Operations Engineer to support our extensive Cloud Data initiatives. This candidate should have demonstrated experience and knowledge in developing and maintaining scalable data pipelines, monitoring data quality, data warehousing, and building and maintaining data processing systems for mining, acquisition, and modeling.
This position will work cross-functionally with Development, Product, and other groups in an Agile-based development environment. We are looking for someone who has experience with cloud computing, as well as a candidate who possesses a knowledge of relational databases, column-oriented databases, and languages such as Java, Python, or SQL.
Remote candidates are being considered for this exciting mid-level opportunity.
RESPONSIBILITIES
- Assemble large, complex data sets that meet business requirements
- Automate data collection pipelines
- Establish CI/CD pipelines for projects as they move from development to production
- Build analytical tools that provide insight into the data lake to ensure data quality
- Perform data analysis and troubleshoot data issues
- Collaborate with the IT Operations and Security teams to ensure all new systems adhere to the internal standards for Security and Performance before deploying to production
- Other relevant duties as assigned
QUALIFICATIONS:
- 2 or more years of experience in data engineering or related field
- Experience with cloud-based architectures, specifically Microsoft Azure
- Working knowledge of CI/CD tools
- Proficiency in languages such as Python, SQL, Java, or Scala
- Comfortable working with both relational and non-relational databases including but not limited to Microsoft SQL Server and MongoDB
- Displays a high level of critical thinking and analysis in bringing successful resolution to high-impact, complex, and inter-departmental challenges
- Ability to make prompt, sound decisions when faced with complex and often contradictory alternatives that result in successful outcomes
- Self-driven with excellent problem-solving skills, as well as a demonstrated ability to be adaptable, proactive, and willing to take ownership
- Excellent verbal and written communication skills, along with solid collaboration, reporting, and analytical skills
- While we are considering remote candidates, in the United States, AccuWeather is only able to hire team members in the following states due to taxation purposes: CA, CO, CT, DE, DC, FL, GA, IL, IN, KS, KY, MD, MN, MO, NE, NV, NJ, NY, NC, OH, OK, PA, SC, SD, TN, TX, VA, WA, WI and WY.
AccuWeather is proud to be an Equal Opportunity/Affirmative Action Employer. We are committed to equal employment opportunity to all applicants and existing employees and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEO is the Law poster here and its supplement here. The pay transparency policy is available here.
AccuWeather is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to human.resources@accuweather.com and let us know the nature of your request and your contact information.
Tags: Agile Azure CI/CD Data analysis Data pipelines Data Warehousing Engineering MongoDB Pipelines Python RDBMS Scala Security SQL Streaming
Perks/benefits: Team events Transparency
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Java-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs