Senior Software Engineer, Data Ingestion

Salesforce

. Design and develop highly scalable and resilient streaming and batch pipelines for ingesting and processing structured and unstructured datasets .

Posted 11/11/2026full-timeUnited StatesSenior💰 $172,500 - $260,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing scalable streaming and batch data pipelines, with proficiency in technologies such as Kafka, Spark, and SQL. Capable of leading technical initiatives, mentoring engineers, and collaborating effectively with cross-functional teams.

Highest-signal resume keywords

7+ Years Of Software/Data Engineering ExperienceStreaming And Lakehouse TechnologiesBatch Data Pipelines Using Spark And AirflowProficiency In SQL, Python, Java/Scala, GoBuilding Distributed Microservices Using Kubernetes And Docker

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Streaming TechnologiesLakehouse TechnologiesBatch Data PipelinesSQLPythonJavaScalaGoDistributed MicroservicesAI-Assisted Software Development

Soft Skills

Excellent Written CommunicationExcellent Verbal CommunicationInterpersonal SkillsCollaborationMentoring

Tools & Technologies

KafkaSparkAirflowEMRS3KubernetesDockerAWS ECS/EKSTerraformGrafana

Industry Keywords

Data EngineeringStreaming DataBatch ProcessingMicroservicesMetadata Management

Tech Stack

Tools & technologies

AirflowAWSDockerGrafanaJavaKafkaKubernetesMicroservicesPythonScalaSparkSQLTerraformGo

About the role

Key responsibilities & impact

Design and develop highly scalable and resilient streaming and batch pipelines for ingesting and processing structured and unstructured datasets
Design and implement Slack’s Lakehouse solutions and enable production use cases for customers
Improve service and pipeline reliability and performance through AI-assisted and/or Agentic solutions and tools
Automate and manage dataset lifecycles, including schema evolution, metadata management, change and backfill management, deprecation, and migration
Serve as a tech lead and collaborate with cross-functional partners
Lead technical initiatives independently end to end
Coach and mentor engineers across the team and organization
Write, review, and provide feedback on technical design proposals

Requirements

What you’ll need

U.S. citizenship; candidate must be U.S. born or naturalized
Must not hold dual citizenship
Willingness to undergo a U.S. federal government Minimum Background Investigation (MBI) for a Moderate Public Trust position
U.S. citizenship and willingness to undergo a background check for GovSlack authorization
Visa sponsorship is not available
7+ years of software/data engineering experience
Experience building applications using Streaming and Lakehouse technologies, such as Kafka/Kafka Connect, Flink/Spark Streaming, Iceberg/Hudi/Delta or equivalent
Hands-on experience building and maintaining batch data pipelines using Spark, Airflow, EMR, S3 or equivalent
Proficiency in SQL, Python, Java/Scala, Go or equivalent object-oriented and/or functional programming languages
Skilled in building robust distributed microservices using Kubernetes, Docker, AWS ECS/EKS, Terraform, Grafana, or similar tools
Familiarity with AI-assisted software development and automation, including Claude Code/Codex or equivalent, preferred
Excellent written and verbal communication and interpersonal skills
Ability to collaborate with cross-functional partners and explain sophisticated technical concepts to non-technical stakeholders
High growth expectations and willingness to push self and team to achieve them

Benefits

Comp & perks

Time off programs
Medical insurance
Dental insurance
Vision insurance
Mental health support
Paid parental leave
Life insurance
Disability insurance
401(k)
Employee stock purchasing program
Incentive compensation, where applicable
Equity, where applicable
Reasonable accommodation during the application or recruiting process