Mixing technology, data, and first-in-class innovation, EagleView ® is not only leading the property data analytics market, but also changing lives along the way.
Come join us and make great things happen EagleView is a fast-growing technology company driving game changing innovation in multibillion-dollar markets such as property insurance, energy, construction, and government.
Leveraging 17 years of the most advanced aerial imaging technology in the world, along with the most recent advances in machine learning and AI, EagleView is fundamentally transforming how our customers do business.
At EagleView, we believe that making our culture engaging and empowering are keys to success.
Our social, athletic, and wellness opportunities are plentiful; and the growth, education, and potential of employees is a top priority, making EagleView a “Best Place to Work” for more than five years running.
Job Description EagleView, a leader in aerial imagery is growing, and requires a new modern data architecture to power our data-driven culture.
We are actively building out our data team, and looking for accomplished thought leaders with a passion for delivering world-class data solutions.
As a Data Engineer you will work with the latest development tools to design and build new data pipelines to onboard data to our new, modern cloud architecture.
This is an exciting opportunity for self-starter, tech savvy engineers to build out our next-generation big data platforms.
Primary Responsibilities Design, develop and operationalize new data pipelines and data transformation rules.
Profile data and identify potential data gaps.
Propose and document data transformation workflows.
Build, test and implement advanced SQL scripts.
Monitor data pipelines and ensure SLAs.
Conduct performance tuning assessment to optimize data pipelines and cost-effective scaling.
Promote “Data Trust” by thoroughly testing solutions and quickly resolving data quality issues.
Skills & Requirements Bachelor’s degree in Computer Science, Engineering, or a related discipline.
3 years of using SQL to profile, analyze and transform data.
2 years programming experience using one of the major programming languages like Java/Python/Perl/C++ etc.
Experience in creating Shell Scripts.
Experience with ETL tools such as SSIS, Informatica, Talend, Fivetran.
Experience with one or more database platforms such as SQL Server, MySQL, PostgreSQL, DynamoDB, Snowflake.
Experience with Snowflake or similar cloud-based data warehouse technologies such as AWS Redshift or Google BigQuery is a big plus.
Knowledge of data warehouse concepts such as dimensional modeling and aggregate tables.
Experience with systems analysis and design, SDLC, and Agile approaches.
Effective oral, written and interpersonal communication skills Effective presentation skills Collaborates and openly seeks and shares information across teams and departments.
Takes initiative to complete critical tasks, and overcomes obstacles in a proactive manner.
Works well in a growing, fast-paced, entrepreneurial environment.
Keeps informed on the latest technological approaches and trends in his/her technical field.
Brings a work ethic that inspires your fellow team members to give their best.