Solution Architect, Data Engineering and Analytics
Pure Storage
AirflowAmazon RedshiftApacheAWSAzureCloudETLGoogle Cloud PlatformHadoopKubernetesLinuxNFS+4 more
Senior Data Engineer
Boeing
full-time
Posted on:
Origin: • 🇺🇸 United States • Missouri
Visit company websiteSalary
💰 $127,500 - $172,500 per year
Job Level
Senior
Tech Stack
AirflowAmazon RedshiftApacheAWSCassandraCloudDockerETLJavaJavaScriptKafkaMongoDBMySQLNoSQLOpenShiftPostgresPythonReactScalaSQLTableau
About the role
- Administer and maintain multiple databases within SSMS, ensuring performance, integrity, and security
- Implement and manage backup, recovery, and disaster recovery strategies
- Develop, optimize, and maintain complex stored procedures, ensuring adherence to best practices
- Conduct code reviews and troubleshoot performance issues
- Manage and maintain linked server connections and troubleshoot connectivity issues
- Perform data mining from enterprise data warehouses to extract insights and author new stored procedures to support business needs
- Monitor and optimize database performance, including query optimization and indexing; identify and resolve performance bottlenecks
- Design and implement ETL processes to integrate data from various sources and ensure data quality and consistency
- Maintain comprehensive documentation of database structures, stored procedures, and data flows
- Ensure compliance with data governance and security policies
- Work closely with cross-functional teams and provide technical guidance to junior data engineers
- Communicate effectively with non-technical stakeholders to explain complex technical concepts
- Position is hybrid and must meet export control compliance requirements (U.S. Person)
Requirements
- Bachelor’s or master’s degree in computer science, Information Technology, Data Science, or a related field
- Minimum of 5+ years of experience in data engineering or a related role
- Proficiency in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra)
- Expertise in database management and optimization techniques
- Familiarity with containerization and orchestration tools like Openshift and Docker
- Strong problem-solving skills and the ability to analyze complex data sets
- Experience with data visualization tools (e.g., Tableau, Power BI)
- Understanding of data governance, data quality, and data security best practices
- Knowledge of database design principles, indexing, and performance tuning
- Preferred: Proficient in programming languages such as Python, Java, or Scala
- Preferred: Experience with cloud platforms, particularly AWS (e.g., S3, Redshift, RDS)
- Preferred: Knowledge of front-end technologies, particularly JavaScript and REACT
- Preferred: Strong experience with data pipeline tools and frameworks (e.g., Apache Kafka, Apache Airflow)
- Preferred: Experience with API development and integration
- Must meet export control compliance requirements ("U.S. Person" as defined by 22 C.F.R. §120.15 — U.S. Citizen, lawful permanent resident, refugee, or asylee)
- Employer will not sponsor applicants for employment visa status
- Relocation assistance is not a negotiable benefit; candidates must live in the immediate area or relocate at their own expense
- Drug Free Workplace — post offer testing for certain substances when criteria are met
- Shift: 1st shift
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