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NavAide
San Diego, CA, United States
Job Summary The ideal data analyst candidate will leverage government-provided software and tools to assist in various mission requirements such as Services/Category Management and Program Analysis. They will be responsible for developing and maintaining configuration files, source code, scripts, reports, visualizations, analytics, and algorithms
Job Source: NavAideeTeam
San Diego, CA, United States
Data Engineer 4-5 years of experience with building end-to-end Data Lake using AWS technologies (S3, Glue, Athena, RedShift) Design, develop and support data pipelines in a hybrid cloud environment to enable advanced analytics Experience with scheduling data pipelines using Apache Airflow bility to develop new services in AWS using server-less or c
Job Source: eTeamOwnBackup
San Diego, CA, United States
Own is the leading data platform trusted by thousands of organizations to protect and activate SaaS data to transform their businesses. Own empowers customers to ensure the availability, security and compliance of mission-critical data, while unlocking new ways to gain deeper insights faster. By partnering with some of the world’s largest SaaS ecos
Job Source: OwnBackupSpectraforce Technologies
San Diego, CA, United States
Position: Data Engineer Location: Onsite (San Diego, CA) Duration: 12 Months Job description: As a Data Engineer, you will play a pivotal role in shaping and implementing robust data architecture while constructing efficient data pipelines aligned with our organizational goals. This position supports various business functions, including Supply
Job Source: Spectraforce TechnologiesNavAide
San Diego, CA, United States
Job Summary The ideal data analyst candidate will leverage government-provided software and tools to assist in various mission requirements such as Services/Category Management and Program Analysis. They will be responsible for developing and maintaining configuration files, source code, scripts, reports, visualizations, analytics, and algorithms
Job Source: NavAideDiverse Lynx
San Diego, CA, United States
Technical/Functional Skills Strong SQL and Python skills, Big query Strong understanding of data modelling concepts Data engineering concepts Experience Required 8+ Years experience Experience in API development, SQL and Python Experience in ETL/ELT Strong knowledge on BigQuery Experience in creating data pipelines Roles & Responsibilities Cre
Job Source: Diverse LynxASCENDING LLC
San Diego, CA, United States
Description: Top 3 Required Skills: • Hands-on experience creating automated data pipelines using Pega DataFlow and other modern technology stacks for batch ETL or API • Hands-on experience with Pega 8.X, Postgres and Cassandra • Knowledge and experience with configuration, load-balancing, auto-scaling, monitoring, networking, and problem-solving i
Job Source: ASCENDING LLCLEDGENT Technology & Engineering - Roth Staffing Companies, L.P.
San Diego, CA, United States
Job Title: Data Engineer Job Type: Hybrid, Direct Hire, Full-Time Location: Carmel Valley- San Diego, CA Salary Range: $102,000 - $153,000 Job Description The Data Engineer / Experienced Python programmer is a full-time permanent hire position. Successful applicants will work on data and applications to support pharmacists in automating systems
Job Source: LEDGENT Technology & Engineering - Roth Staffing Companies, L.P.San Diego, CA, United States
WHO WE ARE.
We believe in merging technology and data to drive our customers one step beyond. Itility digital consultants are experts in data, cloud, software, and IT infrastructure. Acting as the ‘digital twin’ of customers, we work shoulder-to-shoulder to exceed business goals and push the boundaries of what you thought was possible. We combine an agile way of working with proven methods and building blocks. This enables teams to act quickly and shape, deliver, and run innovative digital solutions. With a continuous focus on implementing your strategy and generating results.
ABOUT THE ROLE.
Are you adept at coding to capture data? Are you thrilled when you dig into various data sources and transform them into valuable, user-friendly information? Are your skills at the intersection of data and software? Is your day made when data flows flawlessly based on the carefully constructed code you've created? Then we have the perfect opportunity for you! For numerous enterprise clients, we develop data connectors to streamline data flow from multiple sources to analytics platforms, such as Splunk, Databricks, Hadoop, or others. One thing these systems share is that the data will be utilized in a production environment, which means it must flow consistently and monitored for any interruptions. Ensuring data validity and quality is also crucial.
WHAT YOU'LL DO.
Developing data connectors with Python or other programming languages.
Setting up data validation tests within the data pipeline.
Establishing monitoring and alert systems for data flow interruptions or corruption.
Leading incident resolution efforts to minimize impact on end users.
Teaming up to build, deploy, maintain, and optimize data ingestion and connectors for data flow to the data storage system.
Creating and managing distributed systems for data extraction, ingestion, and processing of large, diverse data sets.
Developing data products in stages, integrating and managing data from various sources.
Collaborating with software engineers and data scientists to design data sets for diverse applications, from proof-of-concept to production.
Partnering with Business Analysts for requirement collection, pipeline implementation decisions, data identification, and tooling selection.
Working with ETL/data services and application teams to support data solution development.
Collaborating with software engineers and data scientists to design data sets for diverse applications, from proof-of-concept to production.
QUALIFICATIONS.
Possess a bachelor’s or master’s degree.
Experience in creating data ingestion scripts.
Exhibit team spirit and good communication skills.
Good understanding of SQL and Python.
Experience with data platforms and data lakes in an enterprise setting is a plus.
Demonstrate a hands-on approach, strong customer focus, problem-solving skills, and quick results.
Prior experience with Linux is necessary.
Familiarity with continuous integration & delivery tools, e.g. Jira, Git, Jenkins, Bamboo.
3+ years’ experience with analytics platforms and tools, such as Databricks, Snowflake, Teradata, Spark, Kafka.
3+ years’ cloud experience and demonstrated proficiency working with AWS, GCP, and/or Azure Cloud DevOps Services is preferred.
Belief in scrum/agile work methodologies and software practices for professional data flow.
BENEFITS & TOTAL REWARDS .
100% employer paid medical, dental and vision insurance
401k with up to 4% employer match
Paid vacation and sick time
Paid company holidays
HAS Accounts
Flexible Spending Accounts
Life Insurance
Professional Training and Development Programs
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Data Engineer jobs in San Diego, CA, United States
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