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Data Analytics Software Engineer Jobs

Software Engineer: Software & Data Infrastructure Team
By May Mobility At Ann Arbor, MI, United States
Exceptional written and verbal communication skills and team leading abilities
B.S. Degree in Computer Science, Computer Engineering, or equivalent experience
Strong working knowledge of data structures and algorithms
Experience designing, building, and expanding complex software systems with real-time and performance constraints
Experience with robotics, automotive engineering, or start-ups is not required
M.S. Degree in Computer Science, Computer Engineering and 3+ years of industry experience
Data & Analytics Engineer Jobs
By Baird At Louisville, KY, United States
Demonstrate competence, experience, knowledge, understanding, and advocacy of data management concepts, data warehousing, BI, and analytics.
Business Intelligence tools: Microsoft tools (SQL Server Management Studio, SSRS, SSAS, Power Pivot, Power Query, PowerBI), Alteryx
Data Management and Quality: data mapping, data profiling, metadata repository, relational data modeling, master data management
Partner with internal business units to define information requirements and translate them into appropriate data solutions.
Partner with Analytics team members to translate business and functional requirements into technical designs
Support and flexibility to grow and be your best at work, at home, and in the community.
Data Engineer, Data Analytics
By Tesla At Fremont, CA, United States
Working knowledge of data management software like Airflow, or other ETL tools a plus.
2+ years in cross-functional project management experience.
Experience in project management, Jira
Research and keep abreast of rapidly evolving data requirements, ensuring necessary system and process changes are implemented to meet these requirements.
Continuously improve SQL and python skills, helping you automate repetitive work and multiply yourself
2+ years of prior experience as Systems/Data/Product/Program Analyst.
Data/Software Engineer Jobs
By FocusKPI, Inc. At Sunnyvale, CA, United States
Working with the analysts and their stakeholders to understand the business requirements
1+ years of experience in Data engineer, Software engineer or related field.
Experience with SQL, Java/Scala, Spark, Hadoop/Hive is a must.
Working with Product Development (PD) to provide a stable analytics data source
Defining new metrics to be collected
Designing and implementing data collection, transformation, aggregation
Data Engineer - Data & Analytics
By McDonald's At Chicago, IL, United States
Demonstrated experience in data management & data governance capabilities
Expert knowledge of quality functions like cleansing, standardization, parsing, de-duplication, mapping, hierarchy management, etc.
Experience with Agile project management methods and terminology a plus
Ability to drive continuous data management quality (i.e. timeliness, completeness, accuracy) through defined and governed principles
Collaborating with data scientists and analysts to understand data requirements and ensure data accuracy, integrity, and availability.
Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference.
Software Engineer, Data Jobs
By FortiFi At Los Angeles, CA, United States
Experience in Finance or Real Estate industries
Excellent knowledge of Python and Python data tools (eg: pandas, jupyter, scikit-learn)
5+ years of full time industry experience
Define and develop ETLs and data applications for use in our products
Design and build a data warehouse that enables the rest of the company to build self-service dashboards and reports.
Work with product engineers to design performant database schemas
Data Analytics Engineer Jobs
By Microsoft At Redmond, WA, United States
Demonstrated ability to understand and communicate technical details with varying levels of management.
Hands-on experience with developer environment tools like Continuous Integration/Continuous Delivery (CI/CD), Azure DevOps, GitHub, and Agile Scrum
Certifications like GCIA, GSLC, GCIH, CISM, CISSP, CEH, etc. are plus.
Conduct proactive and reactive evaluation and tuning of detections to reduce noise and investigation time.
Continuous research to identify and translate data into actionable insights for faster and better response.
Develop metric dashboards and insights for SOC cases
Data Engineer, Fleet Analytics
By Tesla At Palo Alto, CA, United States
Experience writing software in a professional environment
Strong verbal and written communication skills
Strong problem-solving skills to help refine problem statements and figure out how to solve them with the available data
Experience with data science tools such as Pandas, Numpy, R, Matlab, Octave
Experience with complex hardware systems
Experience building machine learning models in a professional environment
Software Engineer, Data Engineering
By Ikigai At Cambridge, MA, United States
Excellent organizational, time management, and communication skills
Utilize Kubernetes to orchestrate the deployment, scaling and management of Docker containers
0-3 years of experience with a bachelor's degree in Computer Science, Math, or Engineering; or a master's degree
Experience with Python, AWS services, and/or ETL/ELT pipeline experiences
Experience with Kubernetes and/or EKS (optional)
Databases: Postgres, Elasticsearch, DynamoDB, RDS
Data Engineer, Automation And Analytics
By Tesla At , Palo Alto, Ca
Strong organizational skills and the ability to prioritize and manage multiple projects simultaneously with complex and demanding deadlines
Own system requirements, and participate in the software development process from design to user acceptance testing
Master’s degree in science or engineering or equivalent experience or evidence of exceptional ability
Strong experience with relational databases like SQL Server, MySQL and Vertica.
Proficiency with SQL, a good understanding of database systems, highly skilled in programming (R, Python). Apache Airflow is a plus
Experience creating dashboards using Tableau (or similar) visualization tools
Data Engineer, Automation And Analytics
By Tesla Industries, Inc. At Palo Alto, CA, United States

The electrical component team in Supply Chain is looking for a highly skilled and motivated Data Engineer to support our Supply Chain Organization. You will plan effective data storage, security, ...

Data Engineer - Target Retail Analytics
By Procter & Gamble At , Minneapolis-Saint Paul, Mn $146,000 - $172,000 a year
Experience with Data Management (e.g., highly restricted data, consumer data) standard methodologies
Assemble large, complex data sets which meets functional and non-functional business requirements
2+ years experience with ETL in SQL and NoSQL data stores
2+ years experience in SQL and Python coding languages
Experience with a range of data engineering approaches, covering theoretical standard methodologies and the technical applications of these methods
Experience using automation best practices for CI/CD
Data/Analytics Engineer Jobs
By Salt At New York, United States

Senior Data/Analytics Engineer – Adtech/Martech – New York/Hybrid

If you want to learn more, please apply today !

Data Analytics Engineer Jobs
By Save A Lot At , Saint Ann, 63074, Mo
1+ year of experience delivering projects in a complex enterprise environment
2+ years of experience manipulating and analyzing complex data with SQL
1+ year of experience with data visualization tools, preferably Power BI and/or Tableau
1+ year relevant experience with a proven track record of leveraging analytics to drive business impact
Experience with SSRS and Dax is a plus
Strong planning and organizational skills
Software Engineer - Mapping Data Software
By Zoox At , Foster City, Ca $160,000 - $225,000 a year
Experience designing metrics and knowledge of statistics
Create software requirements, design documentation, test plans, and other supporting documentation
Contribute to all phases of the software development cycle including prototyping, requirements capture, design, implementation, and validation
5+ years of industry experience
Experience working with cloud and web technologies (AWS, S3, EC2, SQL, HTML, JS, CSS)
Experience handling large data sets efficiently
Entry/Jr Software, Analytics -Ml Ai Specialist
By Credence Management Solutions, LLC At , Tysons Corner, 22182, Va
Work with clients and grow technology projects through sales and project management.
Manage clients and develop AI, automation and analytics technologies.
While having experience in AI or automation is not a must, but should be interested to rapidly learn the technology.
Technical experience in software development, data analytics and/ or data science
Experience with software development, data analytics or artificial intelligence
Experience with Data modeling and design
Software Engineer - Data Analytics
By Zscaler At , San Jose, 95134, Ca
Establish what constitutes optimal experience and identify anomalies based on multiple variables
Build models to identify potential problem scenarios impacting user experience and automatically arrive at the root cause
Work with product managers to understand and prioritize use cases from the field
Experience modeling time series to generate predictions and detect anomalies
Strong SQL and Python skills is required
Experience using ML Libraries such as TensorFlow, Scikit Learn, others
Data Engineer, Data Analytics
By Tesla At , Fremont, Ca
Working knowledge of data management software like Airflow, or other ETL tools a plus.
2+ years in cross-functional project management experience.
Experience in project management, Jira
Research and keep abreast of rapidly evolving data requirements, ensuring necessary system and process changes are implemented to meet these requirements.
Continuously improve SQL and python skills, helping you automate repetitive work and multiply yourself
2+ years of prior experience as Systems/Data/Product/Program Analyst.
Sr. Data Engineer (Data Analytics & Ai)
By Development Dimensions International, Inc. At , Remote
Lead requirements gathering for data modelling and contribute to data architecture
Learn DDI Domain and contribute to solving data problems in an experienced manner
7+ years of overall experience in Data Warehouse design and data modeling patterns (on-premise or cloud)
7+ years of overall experience in developing SQL/Synapse data warehouses and T - SQL coding
5+ years of experience in developing/supporting a data platform in Azure with data lake, Azure SQL server or Synapse
5+ years of cloud experience with Azure/AWS and Databricks
Data Engineer, Product Analytics - Monetization
By Meta At , Remote $134,000 - $194,000 a year
Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Define and manage SLA for all data sets in allocated areas of ownership
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
4+ years of work experience in data engineering (a minimum of 2+ years with a Ph.D)
Experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

Are you a Data Analytics Software Engineer looking to make an impact? We are looking for an experienced engineer to join our team and help us develop innovative solutions to complex data problems. You will have the opportunity to work with cutting-edge technologies and collaborate with a team of experts to create data-driven solutions that will shape the future of our business. If you are passionate about data analytics and software engineering, this is the perfect job for you!

Overview Data Analytics Software Engineer is responsible for developing software solutions to analyze and interpret data from various sources. They must be able to design, develop, and maintain software applications that can process large amounts of data and generate meaningful insights. They must also be able to collaborate with other teams to ensure that the software meets the needs of the organization. Detailed Job Description Data Analytics Software Engineers are responsible for developing software solutions to analyze and interpret data from various sources. They must be able to design, develop, and maintain software applications that can process large amounts of data and generate meaningful insights. They must also be able to collaborate with other teams to ensure that the software meets the needs of the organization. Data Analytics Software Engineers must be able to identify and analyze data patterns and trends, and develop algorithms to interpret the data. They must also be able to develop visualizations to present the data in an understandable format. Job Skills Required
• Strong programming skills in languages such as Python, Java, C++, or R
• Knowledge of data structures, algorithms, and software design
• Knowledge of data analysis techniques such as statistical analysis, machine learning, and natural language processing
• Knowledge of database technologies such as SQL, NoSQL, and Hadoop
• Ability to work with large datasets
• Ability to work with data visualization tools such as Tableau and Power BI
• Ability to communicate effectively with other teams
Job Qualifications
• Bachelor’s degree in Computer Science, Software Engineering, or a related field
• 5+ years of experience in software development
• Experience with data analysis and visualization tools
• Experience with database technologies
• Experience with machine learning and natural language processing
Job Knowledge
• Knowledge of data analysis techniques such as statistical analysis, machine learning, and natural language processing
• Knowledge of database technologies such as SQL, NoSQL, and Hadoop
• Knowledge of data visualization tools such as Tableau and Power BI
• Knowledge of software development best practices
Job Experience
• 5+ years of experience in software development
• Experience with data analysis and visualization tools
• Experience with database technologies
• Experience with machine learning and natural language processing
Job Responsibilities
• Design, develop, and maintain software applications to analyze and interpret data from various sources
• Identify and analyze data patterns and trends, and develop algorithms to interpret the data
• Develop visualizations to present the data in an understandable