SoHo Dragon
Data Engineer
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Data Engineer
role at
SoHo Dragon
Position: Data Engineer Location: New York City (Hybrid 3x in office) Employment Type: Contract-to-hire Contract Duration: 1-2 years
The data engineer is responsible for designing, building, and maintaining the systems and infrastructure needed for data storage, processing, and analysis. The data engineer will work with a multidisciplinary Agile team to build high-quality data pipelines, generate insights from connected data, and advance the company's data-driven decision-making capabilities.
Responsibilities
Design, develop, optimize, and maintain data architecture and pipelines that adhere to ELT principles and business goals.
Solves complex data problems to deliver insights that help the business achieve its goals.
Creates data products for engineer, analyst, and data scientist team members to accelerate their productivity.
Engineer effective features for modeling in close collaboration with data scientists and business.
Leads the evaluation, implementation and deployment of emerging tools and process for analytics data engineering to improve productivity and quality.
Partners with machine learning engineers, BI, and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
Fosters a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions.
Advises, consults, mentors, and coach other data and analytic professionals on data standards and practices.
Develops and delivers communication and education plans on analytic data engineering capabilities, standards, and processes.
Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics as necessary to carry out role effectively.
Key Skills
Experience in building data pipelines and deploying/maintaining them following modern DE best practices - target tech stack: Python OSS Data Ecosystem (PySpark, pandas, Dash); knowledge of SQL, DBT is a plus
Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing, accessing, and transforming data in a variety of relational databases
Strong understanding of agile methodologies and experience as a Data Engineer on a cross-functional agile team preferred
Software Engineering fundamentals and software development tooling (e.g., Git, CI/CD, JIRA) and familiarity with the Linux operating system and the Bash/Z shell
Experience with cloud database technologies (e.g., Azure) and developing solutions on cloud computing services and infrastructure in the data and analytics space
Basic familiarity with BI tools (e.g., Alteryx, Tableau, Power BI, Looker)
Experience working in data engineering or data architect role
Qualifications & Technical Skills
Bachelor’s degree in computer science, statistics, engineering, or a related field
3+ years experience as a Data Engineer, preferably in a large organization
Interpersonal Mindset & Behaviors
Focused on agile delivery with a “fail-fast, succeed early” mindset and measurable outcomes
Flexibility to changes in work direction as the project develops according to highest-priority business needs
Strong work ethic; ability to work at an abstract level and gain consensus
Exemplary organizational skills with attention to detail, access, and quality assurance
Excellent communication and listening skills, collaborating closely with multidisciplinary team members
Have a “can do” attitude and thrive on a “test and learn” mentality
Seniority level Mid-Senior level
Employment type Contract
Job function Information Technology
Industries IT Services and IT Consulting
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Data Engineer
role at
SoHo Dragon
Position: Data Engineer Location: New York City (Hybrid 3x in office) Employment Type: Contract-to-hire Contract Duration: 1-2 years
The data engineer is responsible for designing, building, and maintaining the systems and infrastructure needed for data storage, processing, and analysis. The data engineer will work with a multidisciplinary Agile team to build high-quality data pipelines, generate insights from connected data, and advance the company's data-driven decision-making capabilities.
Responsibilities
Design, develop, optimize, and maintain data architecture and pipelines that adhere to ELT principles and business goals.
Solves complex data problems to deliver insights that help the business achieve its goals.
Creates data products for engineer, analyst, and data scientist team members to accelerate their productivity.
Engineer effective features for modeling in close collaboration with data scientists and business.
Leads the evaluation, implementation and deployment of emerging tools and process for analytics data engineering to improve productivity and quality.
Partners with machine learning engineers, BI, and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
Fosters a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions.
Advises, consults, mentors, and coach other data and analytic professionals on data standards and practices.
Develops and delivers communication and education plans on analytic data engineering capabilities, standards, and processes.
Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics as necessary to carry out role effectively.
Key Skills
Experience in building data pipelines and deploying/maintaining them following modern DE best practices - target tech stack: Python OSS Data Ecosystem (PySpark, pandas, Dash); knowledge of SQL, DBT is a plus
Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing, accessing, and transforming data in a variety of relational databases
Strong understanding of agile methodologies and experience as a Data Engineer on a cross-functional agile team preferred
Software Engineering fundamentals and software development tooling (e.g., Git, CI/CD, JIRA) and familiarity with the Linux operating system and the Bash/Z shell
Experience with cloud database technologies (e.g., Azure) and developing solutions on cloud computing services and infrastructure in the data and analytics space
Basic familiarity with BI tools (e.g., Alteryx, Tableau, Power BI, Looker)
Experience working in data engineering or data architect role
Qualifications & Technical Skills
Bachelor’s degree in computer science, statistics, engineering, or a related field
3+ years experience as a Data Engineer, preferably in a large organization
Interpersonal Mindset & Behaviors
Focused on agile delivery with a “fail-fast, succeed early” mindset and measurable outcomes
Flexibility to changes in work direction as the project develops according to highest-priority business needs
Strong work ethic; ability to work at an abstract level and gain consensus
Exemplary organizational skills with attention to detail, access, and quality assurance
Excellent communication and listening skills, collaborating closely with multidisciplinary team members
Have a “can do” attitude and thrive on a “test and learn” mentality
Seniority level Mid-Senior level
Employment type Contract
Job function Information Technology
Industries IT Services and IT Consulting
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